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Nuclear Engineer

US Navy (Wavemaker) (USD) New York, NY

It takes hard work and smarts to get you into the reactor room. But if you have a strong interest in math, chemistry, physics and engineering, you might just have what it takes to be a Machinist's Mate Nuclear. As an MMN, you are the Navy's nuclear reactor mechanic. It is your responsibility to perform all maintenance on the steam-powered propulsion plants aboard aircraft carriers and submarines to ensure our fleet can move safely. And your hard work can lead to great rewards. As an MMN, you'll be eligible to receive up to a $50,000 bonus for first-time enlistment. Re-enlistment bonuses are also available. Think you have what it takes to make a nuclear-powered ship run? Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Machinist's Mate Nuclear More Information Responsibilities Nuclear Machinist's Mates operate and maintain steam turbines and reduction gears used for nuclear ship propulsion and auxiliary machinery such as turbogenerators, pumps and oil purifiers. They also maintain auxiliary machinery outside of main machinery spaces, such as electrohydraulic steering engines and elevators, refrigeration plants, air conditioning systems and desalinization plants. They may also operate and maintain compressed gas producing plants. Nuclear-trained MMs perform duties in nuclear propulsion plants operating reactor control, propulsion and power generation systems. Work Environment As a Machinist's Mate Nuclear, you'll have the opportunity to work at sea or ashore. Your assignment could also place you in an intense, fast-paced environment aboard a nuclear-powered submarine or aircraft carrier. Learn more about submarine service and life on a ship . Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes, (known as Boot Camp), those pursuing a Machinist's Mate Nuclear role report to "A" School in Charleston, SC, for six months. Here, they develop a working knowledge of technical mathematics and power distribution. Students learn to solve basic equations using phasors, vector notations and basic trigonometry and analyze DC and AC circuits. They also learn how to operate electrical equipment using controllers, and how to properly test, maintain, troubleshoot, and repair electrical circuits, motors and other related electrical equipment. From there, MMNs move on to Naval Nuclear Power School (NNPS), also in Charleston, SC. Here they learn theory and practical application of nuclear physics and reactor engineering. The six-month course provides a comprehensive understanding of a pressurized-water Naval nuclear power plant, including reactor core nuclear principles, heat transfer and fluid systems, plant chemistry and materials, mechanical and electrical systems, and radiological control. Following NNPS, MMNs begin prototype training in their rating specialty at one of two Nuclear Power Training Units (NPTUs) - located in Charleston, SC, and Ballston Spa, NY. This six-month course teaches the fundamentals of a Naval nuclear power plant and the interrelationship of its mechanical, electrical, and reactor subsystems. Students develop oral communications skills, obtain an understanding of nuclear radiation, and gain knowledge of the safe operation of a complex Naval nuclear power plant. In Nuclear Operations, promotion opportunities are regularly available but competitive and based on performance. Post-Service Opportunities It's also important to note that specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian sector. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training for a Machinist's Mate Nuclear can translate to credit hours toward a bachelor's or associate degree through the American Council on Education . You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and Machinist's Mate Nuclear in the Navy. Those seeking a role as a Machinist's Mate Nuclear must be U.S. citizens with successful completion of one year of Algebra, and who can meet eligibility requirements for a security clearance. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy.

Dynamic Environment

Electronics Engineer

US Navy (Wavemaker) (USD) New York, NY

Navigating a submarine across the dark ocean floor isn't an easy task. It requires pinpoint accuracy and the careful coordination of multiple systems. As an Electronics Technician Navigation, that's where your expertise comes in. From tracking a submarine's underwater inertia to detecting obstacles by radar, you'll operate and maintain the systems that get your sub to its destination. Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Electronics Technician Navigation/Communication More Information Responsibilities Electronics Technicians Navigation (ETV) are responsible for maintaining all electronic equipment used in navigating and piloting submarines. As an ETV, your responsibilities may include: Maintaining, repairing, calibrating, tuning and adjusting navigation equipment Operating, monitoring and maintaining radar, gyrocompass, inertial navigation and global positioning systems Maintaining equipment used to detect, identify and track other maritime vessels Maintain accurate navigation data, and develop and execute navigation plans Conducting preventive maintenance on interior communications circuitry Operating atmosphere monitoring equipment and ship control subsystems Using and maintaining hand tools and portable power tools Perform watch and lookout duties Work Environment As an ETV, you'll work primarily aboard submarines in a clean, controlled environment. You may also work indoors in a clean lab or shop environment while on shore. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), you'll report for specialized training, including: Basic Enlisted Submarine School (8 weeks) in Groton, CT, for training in basic submarine systems Class "A" Technical School and Specialty Pipeline School (14-28 weeks) in Groton, CT, for instruction in basic electricity, electronics and computer technical knowledge and skills, and training in communications aboard fast attack or ballistic missile submarines Advanced Training Advanced training as an ETV, including "C" School instruction on advanced equipment maintenance, may also be available during later stages of your career. For those with further leadership aspirations and a college degree, Officer roles may be available, providing opportunities to lead and train others. Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as electrical engineering and telecommunications. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training as an Electronics Technician Navigation can translate to credit hours toward a bachelor's or associate degree through the American Council on Education . You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and an Electronics Technician Navigation. You must also be a U.S. citizen eligible for security clearance. ETVs should have strong arithmetic, writing and speaking skills, as well as the ability to use computers. You should also be able to perform detailed work, keep accurate records, and function well as part of a team. Important physical attributes include good manual dexterity and physical strength. To serve as an ETV, you must be willing to serve aboard submarines. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy.

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Boiler and Machinery Risk Engineer (Representative or Consultant)

Zurich Insurance Company Ltd. New York, NY

Zurich is seeking a Machinery Breakdown Risk Engineer. The qualified individual must reside within New York City, Long Island, or Northern New Jersey. This is a field role with approximately 25% overnight travel. This is a work from home role and includes a company car. As a Machinery Breakdown Risk Engineer you are responsible for: Providing jurisdictional inspections and machinery breakdown risk assessment services for customers and business partners. Provides intermediate machinery breakdown consultative services to customers, including identifying exposures with significant loss potential, investigation of cause/effect of major losses and hazard/machinery breakdown management programs. Provides basic level training for customers, service design and coordination, marketing, and loss investigations. Final candidates will also be subject to a Motor Vehicle record background check, because this position includes a company car. The role will be filled at the Risk Engineering Representative or Risk Engineering Consultant level. The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skill set relative to the qualifications listed for this position. Basic Qualifications: Risk Engineering Representative: Bachelors Degree and 2 or more years of experience within Boiler and Machinery in the Risk Engineering and Safety area OR High School Diploma or Equivalent and 4 or more years of experience within Boiler and Machinery in the Risk Engineering and Safety area OR Risk Engineering Consultant: Bachelors Degree and 3 or more years of experience within Boiler and Machinery in the Risk Engineering area OR High School Diploma or Equivalent and 5 or more years of experience within Boiler and Machinery in the Risk Engineering area Preferred Qualifications: Knowledge within the boiler and machinery industry segment Relevant experience in the assessment of risk, based on what is required by Machinery Breakdown specific competency standards National Board of Boiler and Pressure Vessel Inspectors Commission Card Navy Nuclear School Insurance industry experience Advanced Microsoft Office skills (Microsoft Outlook, Excel, Teams, and Word) Strong communication and organization skills Experience working in a team environment Compensation for roles at Zurich varies depending on a wide array of factors including but not limited to the specific office location, role, skill set, and level of experience. As required by local law, Zurich provides in good faith a reasonable range of compensation for roles. For additional information about our Total Rewards, click here . Other rewards may include short term incentive bonuses and merit increases. Candidates with salary expectations outside of the range are encouraged to apply, and will be considered based on experience, skill, and education. The salary provided is a nationwide market range and has not been adjusted for the applicable geographic differential associated with the location where the position may be filled. The combined salary range for this position is $64,600.00 - $121,700.00. The starting salary range for the Risk Engineering Representative is $64,600.00 - $105,900.00 and for the Risk Engineering Consultant is $74,300.00 - $121,700.00. As an insurance company, Zurich is subject to 18 U.S. Code § 1033. As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time ( https://www.zurichna.com/careers/faq ). A future with Zurich. What can go right when you apply at Zurich? Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here to learn more. As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission. Location(s): AM - New York, AM - New York Virtual Office Remote Working: Yes Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-AW1 #LI-ASSOCIATE

Sales Engineer, Enterprise

Fortinet New York, NY

We are looking for a Systems Engineer to work closely with a Major Account Manager in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales. Responsibilities: Pre-sales - assist in qualifying sales leads from a technical standpoint. Sales calls - be the main technical resource on sales calls and answer or educate the customer and partner onissues ranging from features, specifications and functionality to integration. Conversant with networking applications and solutions. Post-sales - be the lead technical contact for identified accounts for technical issues and will work closely with the technical support team and engineering to answer, elevate and resolve customer's technical issues. Provide assistance to identified customers with post-sales training. Required Skills: 5 - 8 years experience in technical/pre-sales support as a sales or systems engineer 5 - 7 years experience in LAN/WAN/Internet services administration Proven understanding of DNS and NFS, SMTP, HTTP, TCP/IP Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, Network Security, Intrusion Detection, and Anti Virus. Solid understanding in the following technologies and protocols: RADIUS, PKI, IKE, Certificates, L2TP, IPSEC, FIREWALL, 802.1Q, MD5, SSH, SSL, SHA1, DES, 3DES Experience with encryption and authentication technologies required Exceptional presentation skills The Systems Engineer, Enterprise is required to customarily and regularly work outside of their office or home office engaged in selling, including travel as needed to make a sale. Education: Bachelors Degree or equivalent experience. Graduate Degree favorable Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $200,000 - $240,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Sales Engineer, Enterprise

Fortinet New York, NY

We are looking for a Systems Engineer to work closely with a Major Account Manager in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales. Responsibilities: Pre-sales - assist in qualifying sales leads from a technical standpoint. Sales calls - be the main technical resource on sales calls and answer or educate the customer and partner onissues ranging from features, specifications and functionality to integration. Conversant with networking applications and solutions. Post-sales - be the lead technical contact for identified accounts for technical issues and will work closely with the technical support team and engineering to answer, elevate and resolve customer's technical issues. Provide assistance to identified customers with post-sales training. Required Skills: 5 - 8 years experience in technical/pre-sales support as a sales or systems engineer 5 - 7 years experience in LAN/WAN/Internet services administration Proven understanding of DNS and NFS, SMTP, HTTP, TCP/IP Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, Network Security, Intrusion Detection, and Anti Virus. Solid understanding in the following technologies and protocols: RADIUS, PKI, IKE, Certificates, L2TP, IPSEC, FIREWALL, 802.1Q, MD5, SSH, SSL, SHA1, DES, 3DES Experience with encryption and authentication technologies required Exceptional presentation skills The Systems Engineer, Enterprise is required to customarily and regularly work outside of their office or home office engaged in selling, including travel as needed to make a sale. Education: Bachelors Degree or equivalent experience. Graduate Degree favorable Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $200,000 - $240,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Sales Engineer, Named Enterprise

Fortinet New York, NY

We are looking for a Systems Engineer to work closely with a Named Account Manager in a defined territory. The Systems Engineer's main mission will be to support the sales organization in all technical matters regarding pre-sales, sales calls, and post-sales. Responsibilities: Pre-sales - assist in qualifying sales leads from a technical standpoint. Sales calls - be the main technical resource on sales calls and answer or educate the customer and partner onissues ranging from features, specifications and functionality to integration. Conversant with networking applications and solutions. Post-sales - be the lead technical contact for identified accounts for technical issues and will work closely with the technical support team and engineering to answer, elevate and resolve customer's technical issues. Provide assistance to identified customers with post-sales training. Required Skills: 5 - 8 years experience in technical/pre-sales support as a sales or systems engineer 5 - 7 years experience in LAN/WAN/Internet services administration Proven understanding of DNS and NFS, SMTP, HTTP, TCP/IP Knowledge of the following technologies: Routing, Switching, VPN, LAN, WAN, Network Security, Intrusion Detection, and Anti Virus. Solid understanding in the following technologies and protocols: RADIUS, PKI, IKE, Certificates, L2TP, IPSEC, FIREWALL, 802.1Q, MD5, SSH, SSL, SHA1, DES, 3DES Experience with encryption and authentication technologies required Exceptional presentation skills The Systems Engineer, Named Enterprise is required to customarily and regularly work outside of their office or home office engaged in selling, including travel as needed to make a sale. Education: Bachelors Degree or equivalent experience. Graduate Degree favorable Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $200,000 - $240,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Posted 10 hours ago

IT Security Engineer

MetroPlus Health Plan New York, NY

IT Security Engineer Job Ref: 99336 Category: Information Technology Department: MHP INFORMATION SECURITY Location: 50 Water Street, 7th Floor, New York, NY 10004 Job Type: Regular Employment Type: Full-Time Hire In Rate: $130,000.00 Salary Range: $130,000.00 - $149,000.00 Empower. Unite. Care. MetroPlusHealth is committed to empowering New Yorkers by uniting communities through care. We believe that Health care is a right, not a privilege. If you have compassion and a collaborative spirit, work with us. You can come to work being proud of what you do every day. About NYC Health + Hospitals MetroPlus Health provides the highest quality healthcare services to residents of Bronx, Brooklyn, Manhattan, Queens and Staten Island through a comprehensive list of products, including, but not limited to, New York State Medicaid Managed Care, Medicare, Child Health Plus, Exchange, Partnership in Care, MetroPlus Gold, Essential Plan, etc. As a wholly-owned subsidiary of NYC Health + Hospitals, the largest public health system in the United States, MetroPlus Health 's network includes over 27,000 primary care providers, specialists and participating clinics. For more than 30 years, MetroPlus Health has been committed to building strong relationships with its members and providers to enable New Yorkers to live their healthiest life. Position Overview The security engineer is responsible for implementing, maintaining, monitoring and managing secure solutions. The engineer delivers these solutions in accordance with the organization's architectural designs, best practices, and regulatory or compliance requirements. As risks change, the security engineer is responsible for recommending modifications and enhancements to ensure the organization is evolving with the threat landscape. The security engineer is expected to contribute to the corporate security strategy with security leadership and other senior security staffers and technologists. Recipients of the engineer's implementations and management include IT infrastructure, application development, security operations, security audit and end users. With an emphasis on securing systems, applications, third-party connections, service providers and ancillary systems, the security engineer is responsible for securing business-to-business initiatives, third-party relationships, outsourced solutions and vendors. Considered a highly knowledgeable individual, the security engineer is expected to implement, monitor and manage secure solutions that address modern day issues. Job Description Handle day-to-day implementation, monitoring and operational support of security hardware, software, customer applications, and managed solutions. Actively participate security team meetings that facilitate secure design. Engage in information security projects that evaluate existing security infrastructure and propose changes as defined by security leadership and architects. Additionally, deliver projects on time and within budget. Assist with incident response and system stability issues as they occur. This may include involvement outside of regular work hours, and responsiveness is expected. Implement solutions observing compliance - Health Information Portability and Accountability Act (HIPAA), Payment Card Industry (PCI), New York State Department of Financial Services Cybersecurity Requirements (23 NYCRR 500). Work in tandem with architects, the security operations center (SOC), incident responders (in cases of anomalous activity and host compromise), and technology infrastructure and development team members. Respond to and handle service and escalation tickets within SLA expectations. Develop security test plans from architectural design. Identify deficiencies and make enhancements to ensure production is not impacted. Participate in change project and change management meetings as required. Research, validate and deploy solutions meeting security and business needs. Follow security engineering fundamentals and processes as outlined in NIST 800-160 Influence the planning and execution of incident response and postmortem exercises, with a focus on creating measurable benchmarks to show progress (or deficiencies requiring additional attention). Focus on driving security efficiencies, enabling security team members to work on more advanced tasks. Conduct performance testing to stress the limitations of security solutions while at the same time ensuring business innovation and day-to-day processes are not negatively impacted. Perform other duties as assigned Minimum Qualifications Bachelor's degree in computer science, information assurance, Cybersecurity or related field, or equivalent. 10+ years of related experience required. Licensure and/or Certification Required CISSP (preferred); CISM and/or SANS certification or Cisco-related certifications a plus. Professional Competencies Experience with: Microsoft Azure or Amazon Web Services (AWS). Vulnerability tools such as Rapid7, Qualys, Nessus, NMAP, Kismet, Airsnort SIEM platforms and technologies Private and Public PKI Infrastructure Network security management, design, and deployment. DevOps background with experience in compliance obligations. Experience with one or more of the following standard frameworks: ISO 27001, NIST, PCI Data Security Standard (PCI DSS), HIPAA, Health Information Technology for Economic and Clinical Health (HITECH) Act, Center for Internet Security (CIS) standards or Service Organization Controls (SOC) 2. Working knowledge of Windows and Linux. Familiarity with state privacy laws. Ability to think strategically and tactically, with effective decision-making skills. Highly trustworthy; leads by example. Experience supporting and utilizing SIEM platforms. Working technical knowledge of Advance Threat Protection tools such as Crowdstrike, Trellix, etc. Next Generation Firewalls (NGFW), Software-Defined Wide Area Networking (SD-WAN), Advanced Threat Protection and Sandboxing solutions. Detection/Prevention Systems: Anomaly-based, signature-based, and host-based. DLP and Data in rest encryption. #L-Hybrid #mph50

Software Engineer, GenAI Model Quality

Scale AI, Inc. New York, NY

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Quality team Generating high-quality data is the core problem our business solves. Our Quality team focuses on building web-based applications that help measure our contributors' quality. As a Software Engineer on the team, you'll focus on building systems that monitor and flag quality issues with large-scale data collections. You will invest in Benchmark testing, ML models, heuristics, and other evaluation strategies to measure contributors' quality on a variety of Gen AI tasks. Responsibilities: Own large areas within our product Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 3 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000—$192,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Software Engineer, GenAI Horizontal Task Tooling

Scale AI, Inc. New York, NY

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Horizontal Task Tooling team Generating high-quality data is the core problem our business solves. Our Horizontal Task Tooling team focuses on building web-based applications that allow our contributors to annotate high quality data for language model training & evaluation. As a Software Engineer on the team, you'll focus on building web based interfaces that allow large scale data collections for cutting edge models. You will invest in task design for collecting agentic data, contributor feedback techniques, automated data validation using LLMs, & different front end architectures (primarily react based). Responsibilities: Own large areas within our product Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: 3+ years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000—$192,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

High salary

Fullstack Software Engineer, GenAI Model Quality

Scale AI, Inc. New York, NY

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Quality team Generating high-quality data is the core problem our business solves. Our Quality team focuses on building web-based applications that help measure our contributors' quality. As a Software Engineer on the team, you'll focus on building systems that monitor and flag quality issues with large-scale data collections. You will invest in Benchmark testing, ML models, heuristics, and other evaluation strategies to measure contributors' quality on a variety of Gen AI tasks. Responsibilities: Own large areas within our product Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 3 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000—$192,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Inside Sales Engineer

Fortinet New York, NY

We are looking for a Pre-Sales Systems Engineer to work closely with our SMB sales teams. The Pre-Sales Systems Engineer's main mission is to support the sales organization in all technical matters related to pre-sales, opportunity management, and customer success. As a Systems Engineer, you will enable sales engagements into a set of new and existing accounts. You will play a pivotal role to discover and assess IT business goals and challenges. You will develop solutions based on those requirements using the Fortinet product and service portfolio. You will provide compelling and accurate presentations of those solutions to the customers or Fortinet partners. Responsibilities Assess customer project requirements Align client needs with appropriate Fortinet solutions Partner with internal peers to pursue sales opportunities Supply Networking/Security guidance in the pre-sale's engagements Cross team collaboration Continuous self-improvement and learning to keep technical leadership of applicable technologies (data center, SDN (Software Defined Networking), public cloud, security, networking, etc.) Ensure ongoing customer success, support, and growth Requirements 1-year relevant pre/post-sales experience and bachelor's degree in Engineering Technology, Computer Science, Computer Engineering, or related field subject OR 3 years' experience in a related field The Inside Systems Engineer is required to customarily and regularly work outside of their office or home office engaged in selling, including travel as needed to make a sale. A strong proficiency in: Cybersecurity fundamentals, including common cybersecurity issues, threats, attacks, and vulnerabilities Principles of cyber threat management and incident response Networking fundamentals including the OSI model and specifics of common network protocols Critical thinking Professional communication and presentation General knowledge of at least 2 of the following: Network Operations Breach Detection and Prevention Security Operations DevOps Wired and wireless Access Identity and Access Management Public and private cloud Web content and security acceleration Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $95,000 - $125,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Software Engineer 3, Data Platforms

MongoDB New York, NY

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is growing rapidly and seeking a Software Engineer for the Data Platform team to be a key contributor to the overall internal data platform at MongoDB. The Data Platform team focuses on building reliable, flexible, and high quality data infrastructure such as a streaming platform, ML platform, and experimentation platform to enable all of MongoDB to utilize the power of data. As a Software Engineer, you will design and build a scalable data platform to help drive MongoDB's growth as a product and as a company, while also lending your technical expertise to other engineers as a mentor and trainer. You will tackle complex platform problems with the goal of making our platform more scalable, reliable, and robust. We are looking to speak to candidates who are based in New York City for our hybrid working model. Who you are: You have worked on production-grade building applications and are capable of making backend improvements in languages such as Python and Go You have experience building tools and platforms for business users and software developers You have experience with or working knowledge of cloud platforms and services You enjoy working on full stack applications including UI/UX, API Design, databases and more You're looking for a high impact and growth role with variety of opportunities to drive adoption of data via services and tooling You're passionate about developing reliable and high quality software You're curious, collaborative and intellectually honest You're a great team player What you will do: Design and build UI, API and other data platforms services for data users including but not limited to analysts, data scientists and software engineers Work closely with product design teams to make improvements to the internal data platform services with an emphasis on UI/UX Perform code reviews with peers and make recommendations on how to improve our code and software development processes Design boilerplate architecture that can abstract underlying data infrastructure from end users Further improve the team's testing and development processes Document and educate the larger team on best practices Help drive optimization, testing, and tooling to improve data platform quality Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day Bonus Points: You have experience with modern Javascript environment including frontend frameworks such as React and Typescript You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform You are interested in web design and have experience directly working with product designers You have experience designing and building microservices You have experience building a machine learning platform using tools like SparkML, Tensorflow, Seldon Core, etc. Success Measures: In three months you will have familiarized yourself with much of our data platform services, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests In six months you will have successfully investigated, scoped, executed, and documented a small to medium sized project and worked with stakeholders to make sure their user experiences are vastly enhanced by implementing improvements to our platform services In a year you will have become the key person for several projects within the team and will have contributed to not only the data platform's roadmap but MongoDB's data-driven journey. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $101,000—$198,000 USD

Software Engineer, GenAI Outlier

Scale AI, Inc. New York, NY

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Outlier team Join our Outlier team where you'll be building features for the world's premier expert platform for Generative AI. We're a product-focused fullstack team serving tens of thousands of daily active users who represent the brightest minds across various disciplines. Our mission is to create an exceptional, delightful experience that empowers high-caliber contributors. We're continuously evolving our platform with innovative features that our community loves. Recently, we launched our AI Playground, giving users access to all leading LLMs in one place, alongside powerful utilities and features that leverage this multi-model capability. From interactive leaderboards to engaging community features, we're building tools and experiences that make contributing to AI development both impactful and exciting. As a fullstack engineer, you'll: Build end-to-end features that delight users and enhance their daily experience Create scalable solutions that support our rapidly growing user base Design and implement features that drive community engagement beyond core tasking Work with cutting-edge web technologies including React, TypeScript, and Next.js 14+ We're looking for creative builders who love to experiment and innovate. Our team thrives on turning ideas into reality, whether they come from user feedback, team brainstorms, or your own inspiration. If you're passionate about product engineering, crafting polished experiences, and working with the latest web technologies, we want to talk to you. Responsibilities: Own large areas within our product Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 3 years of relevant experience in a fast paced, high growth tech environment is preferred. Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000—$192,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Summer Internship Program 2025 - Software Engineer, Trading Web ApplicationsIntern

Intercontinental Exchange New York, NY

Overview Job Purpose The ICE Internship Program offers a dynamic experience that combines on-the-job training with exciting team projects, community outreach, social events, and professional development sessions. You'll have the chance to build meaningful professional relationships and sharpen your interpersonal skills, all while making an impact. The Software Engineer Intern will work with Senior Engineers on trading web applications. Responsibilities Develop or extend new features in the web application ecosystem that supports internal and external trading users. Contribute individually or as a team member to support functional areas, analyze business processes, and achieve assigned by an experienced manager Engage with business partners and contribute to projects that drive significant value Perform other related duties as assigned Knowledge and Experience Currently enrolled in a degree program at an accredited university and be at least advancing to their junior year of study Full Stack engineering experience React and Spring Boot Applicant must be currently enrolled in a degree program at an accredited university and be at least advancing to their junior year of study Demonstrates strong written and oral communication skills Possesses effective computer skills, with a solid working knowledge of MS Office Hourly Pay Rate for New York Candidates The expected hourly rate for this role is $35 per hour. Internship Program Schedule Internships start on either May 12, 2025, or June 9, 2025, and run until August 1, 2025. Interns should be available to work full-time, 5 days a week, at our New York (11 Wall Street) office. Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

High salary

Software Engineer 3, Billing

MongoDB New York, NY

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB's Cloud Engineering team is a diverse group of engineers building together to make data stunningly easy to work with. The team is responsible for a variety of products including MongoDB Atlas, our database-as-a-service (DBaaS) offering and fastest growing product. MongoDB Atlas allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a backend engineer to join the Cloud Billing Platform team! The Cloud Billing Platform team is responsible for business critical processes that ingest and process customer usage data from both internal and external sources to support billing millions of customers. It is a constantly evolving technical challenge to scale our systems and meet the needs of the business. Our talented engineers are passionate about code quality, rigorous about testing and correctness, skilled at communicating with a wide range of stakeholders across the business, and effectively scaling our systems. We are looking to speak to candidates who are based in New York City for our hybrid working model. Candidate Profile 3+ years of experience working with a compiled language (Java) Good understanding of Object Oriented concepts Can dive into frontend development occasionally Has excellent communication skills Has a passion for problem solving and striving to expand their knowledge Curious, collaborative and intellectually honest Comfortable organizing your own time and propose changes backed by data Nice to haves Experience with billing or financial systems Experience working on critical production systems Experience working in a distributed systems environment Responsibilities Delivering high quality code Collaborate with team members on software design, best practices, and troubleshooting Work closely with product teams, considering the user's perspective while helping the team achieve success Maintaining the balance between timely delivery and research & development Own our core values and adhere to them in your work Success Measures In 1 months, you'll have started learning about our system In 3 months, you'll have shipping code into production shipped code and will start to contributing to projects with other team members In 6 months, you'll be and collaborating with the team to solve tough problems and leading your own projects To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $101,000—$198,000 USD

Quick Apply

Staff Software Engineer, Server Security

MongoDB New York, NY

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is seeking highly technical candidates for a role on the Server Security team as a Staff Software Engineer. Server Security is a development focused group within the engineering organization. The Server Security team builds features in the core MongoDB Server that enable database users to secure their data, such as TLS and X.509 certificate management, at-rest data encryption, authentication and authorization systems, and the new Queryable Encryption offering. Our team operates close to the bottom of the stack, and has a lot of influence over the safety and robustness of our open source database and a growing ecosystem of cloud services and client applications. In this role, you'll be a leader in continually improving our security posture by owning features and tools that support this mission. In addition, you'll have the opportunity to lead security investigations into some of the most challenging and complex areas of our codebase, collaborating with software engineers across the organization. An ideal candidate has experience writing secure, high quality application code, can communicate complex technical concepts well, and has great diagnostic intuition as it applies to security in complex distributed architectures. This role can be based out of the New York Office or remote, working East Coast hours. What you'll do Design and lead complex projects to improve our security posture Implement, test, and support new features related to cryptography, security engineering, and compliance assurance, in a large feature-rich C++ codebase Assist fellow engineers in, and be an advocate for, writing secure, well-reasoned and high-quality features Collaborate with other teams in engineering, cloud services, support, consulting, training, and marketing to coordinate feature rollouts and changes Ideally, you will have 10+ years of experience in software development, with a focus on security Ability to diagnose thorny technical issues central to databases: distributed systems, data replication, query optimization, data storage, OS internals, concurrency and scheduling, networking, etc Expertise in common network security protocols, fundamental cryptographic principles, and related technologies: e.g., TLS, Private/Public Key Cryptography, PKI, Hashing, CRLs, token-based auth, etc Experience supporting production environments, and/or working directly with end-users to investigate and diagnose highly technical security issues Ability to: Read and understand the intent of code and stack traces in many languages, especially C++ Stand for code quality and software design best practices Quickly grok and clearly synthesize implications of system behavior Excellent communication skills (both written and verbal) as you will be working with users from all over the world with very diverse backgrounds, as well as with a highly technical engineering team Success Measures In 1 week: You have completed your first Pull Request In 3 Months: You demonstrate a thorough understanding of our existing architecture You are a productive contributor to select components of the Server Security codebase You are identifying opportunities for improvement of security and/or code quality within the codebase You are providing security-focused reviews of pull requests and design proposals from other MongoDB server engineers In 6 Months: You have made a substantial new addition to the security codebase You play an active role in defining and driving the short and long term roadmap of our product You mentor other members of the team on secure concepts and code quality You are acting as a representative of the team in inter-team discussions You can speak to holistic strengths and weaknesses in product capabilities You can lead the response to some escalations from our experienced Technical Services Team In 12 Months: You are running a large project to improve our security offerings You demonstrate a deep understanding of one or more Server Security components You are a deeply respected mentor for our team and all surrounding teams and advocate for and on behalf of the Server Security team To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $137,000—$270,000 USD

Staff Software Engineer, Diagnostics

MongoDB New York, NY

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is seeking highly technical candidates for a role on the Server Triage and Release team as a Staff Diagnostics Engineer. Server Triage and Release is a support and diagnostics focused group within the engineering organization. In this role, you'll continually improve our diagnostic processes by contributing to applications and tools that support this mission. In addition, you'll have the opportunity to lead our response to investigations into some of the most challenging defects, collaborating with software engineers across the organization, as well as senior technical service engineers. An ideal candidate has experience writing high quality application code, can communicate complex technical concepts well, and has great diagnostic intuition as it applies to complex distributed architectures. This role can be based out of the New York Office or remotely working East Coast hours. What you'll do Lead complex projects to improve our ability to identify and respond to issues Write code to expand our diagnostic toolset, including contributing to and evolving electron apps that were developed by our team to investigate diagnostic data. Work with the Engineering and Technical Services teams to debug and reproduce bug reports from MongoDB users and escalate problems as needed Advocate for a user-oriented perspective, advise on possible solutions and help MongoDB users understand complex technical issues and options to mitigate or resolve. Ideally, you will have 7+ years of experience in software development, with a focus on data management systems. Expertise in diagnosing thorny technical issues central to databases: distributed systems, consensus algorithms, data replication, query optimization, data storage, OS internals, concurrency and scheduling, networking, etc. Experience using and interpreting results of standard profiling tools, such as perf, eBPF, or gdb. Experience supporting production environments, and/or working directly with end-users to investigate and diagnose technical issues Ability to: Design and steer fullstack projects, preferably in Typescript, Python, or Go Stand for code quality and software design best practices Quickly grok and clearly synthesize implications of system behavior Read and understand the intent of code and stack traces in many languages, especially C++ Excellent communication skills (both written and verbal) as you will be working with users from all over the world with very diverse backgrounds, as well as with a highly technical engineering team. Success Measures In 3 Months: You are comfortable handling tickets with identifiable diagnostic signatures You can identify user reported tickets that lack sufficient diagnostic detail You have made contributions to our diagnostic tools You are advising on metrics to use for assessing the health of a rollout In 6 Months: You are mentoring members of the team on diagnostics and code quality You have made significant contributions to our diagnostic tools You are acting as a representative on internal rollout committees You can speak to strengths and weaknesses in product diagnostic capabilities You can lead the response to some escalations from our experienced Technical Services Team In 12 Months: You are running a project to improve our diagnostic tools You have a deep understanding in one or more Server components You are consulting internally within MongoDB on efforts to adopt and leverage additional diagnostics such as OpenTelemetry To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $137,000—$270,000 USD

Staff Software Engineer, Diagnostics

MongoDB New York, NY

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is seeking highly technical candidates for a role on the Server Triage and Release team as a Staff Diagnostics Engineer. Server Triage and Release is a support and diagnostics focused group within the engineering organization. In this role, you'll continually improve our diagnostic processes by contributing to applications and tools that support this mission. In addition, you'll have the opportunity to lead our response to investigations into some of the most challenging defects, collaborating with software engineers across the organization, as well as senior technical service engineers. An ideal candidate has experience writing high quality application code, can communicate complex technical concepts well, and has great diagnostic intuition as it applies to complex distributed architectures. This role can be based out of the MongoDB Office or remotely working East Coast hours. What you'll do Lead complex projects to improve our ability to identify and respond to issues Write code to expand our diagnostic toolset, including contributing to and evolving electron apps that were developed by our team to investigate diagnostic data. Work with the Engineering and Technical Services teams to debug and reproduce bug reports from MongoDB users and escalate problems as needed Advocate for a user-oriented perspective, advise on possible solutions and help MongoDB users understand complex technical issues and options to mitigate or resolve. Ideally, you will have 7+ years of experience in software development, with a focus on data management systems. Expertise in diagnosing thorny technical issues central to databases: distributed systems, consensus algorithms, data replication, query optimization, data storage, OS internals, concurrency and scheduling, networking, etc. Experience using and interpreting results of standard profiling tools, such as perf, eBPF, or gdb. Experience supporting production environments, and/or working directly with end-users to investigate and diagnose technical issues Ability to: Design and steer fullstack projects, preferably in Typescript, Python, or Go Stand for code quality and software design best practices Quickly grok and clearly synthesize implications of system behavior Read and understand the intent of code and stack traces in many languages, especially C++ Excellent communication skills (both written and verbal) as you will be working with users from all over the world with very diverse backgrounds, as well as with a highly technical engineering team. Success Measures In 3 Months: You are comfortable handling tickets with identifiable diagnostic signatures You can identify user reported tickets that lack sufficient diagnostic detail You have made contributions to our diagnostic tools You are advising on metrics to use for assessing the health of a rollout In 6 Months: You are mentoring members of the team on diagnostics and code quality You have made significant contributions to our diagnostic tools You are acting as a representative on internal rollout committees You can speak to strengths and weaknesses in product diagnostic capabilities You can lead the response to some escalations from our experienced Technical Services Team In 12 Months: You are running a project to improve our diagnostic tools You have a deep understanding in one or more Server components You are consulting internally within MongoDB on efforts to adopt and leverage additional diagnostics such as OpenTelemetry To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $137,000—$270,000 USD

Software Engineer, Federal

Scale AI, Inc. New York, NY

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $184,000—$292,560 USD The base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is: $165,600—$263,304 USD The base salary range for this full-time position in the location of St. Louis is: $138,000—$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Software Engineer, Enterprise AI

Scale AI, Inc. New York, NY

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 5+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000—$254,400 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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