UNIX Support Engineer jobs in Alto

Cybersecurity Engineer

Overview[ABOUT ISTARI DIGITAL]Istari is a digital engineering software company enabling our customers to turn the physical world into the digital to accomplish their specific mission or business objectives. Istari was founded with the vision of making open, scalable digital engineering ecosystems a reality – where new technologies and systems are created digitally, free from the real-world constraints of costs and schedules. We are creating the world’s best engineering model sharing platform, allowing our customers to simply and securely integrate their models across different engineering disciplines, organizations, and security levels. At Istari, we are passionate about our mission of creating the world\'s first open and scalable industrial metaverse. Whether our customers are designing prototypes, performing virtual testing, or training AI and autonomy for complex systems, we know that going digital will save them time, resources, and reduce their environmental impact. While we are a distributed team with most team-members working remotely, we place an emphasis on staying connected and collaborative, prioritizing in-person opportunities to build trust as a team. At Istari, we still believe that trust is best built in-person. To do this, we have an engineering headquarters in Cambridge, MA for focused technical development and several times per year we gather for an off-site that allows us to develop our professional skills and our team relationships.VALUESAt Istari, we live by our values, which include:Purposeful AutonomyWe value letting people self-organize and self-motivate.Our flat structure and lack of meeting clutter are meant to empower individuals and teams to be proactive.Our autonomy is measured, goal-oriented, and results-driven –not meandering.Clear objectives help us prioritize our time.Smart TransparencyWe believe in honest-but-kind communication, transparency, and open-door policies.We love learning about challenges and tackling them early, not hearing good or bad news late.We share work-in-progress across our team.Fast feedback keeps autonomy purposeful.Continual CuriosityAt Istari, we love learning to do things ourselves.We ask, read, share, teach – even watch YouTube videos – to learn new skills to solve problems.When we make breakthroughs, we write them down. Writing focuses ideas, helps us learn, and helps us share.Equal OpportunityIstari is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.We are seeking a highly experienced Cybersecurity Engineer to join our Istari team. This role focuses on designing, implementing, and operating security architecture and controls that protect our cloud-native products and platform. The ideal candidate has deep expertise across cloud security, threat detection and response, and DevSecOps, with a passion for enabling secure innovation in a fast-paced environment. This role focuses on designing, implementing, and managing scalable infrastructure that supports our products. The ideal candidate will have deep expertise in cloud technologies and a passion for driving innovation in a fast-paced environment.Key ResponsibilitiesLead security design and threat modeling for new and existing systems (cloud, application, data, network)Implement and manage core controls: IAM/SSO, least privilege, network segmentation, encryption and key management, secrets management, endpoint and email securityBuild and operate detection and response capabilities: SIEM/EDR/SOAR, log pipelines, alert tuning, use-case development, threat huntingOwn vulnerability remediation: scanning, triage, risk-based prioritization, remediation with product/IT teams, tracking to closureStrengthen application and cloud security: SAST/DAST/SCA, secure SDLC, CI/CD guardrails, IaC scanning, container/Kubernetes runtime protections, CSPM/CIEMCoordinate and support security testing: internal reviews, penetration tests, red/purple team, tabletop exercises; drive remediation and lessons learnedLead/participate in incident response: triage, containment, eradication, recovery, forensics, root-cause analysis, post-incident reports and runbooksDefine and maintain security standards, baselines, hardening guides, and architecture diagramsMonitor and report security metrics, KPIs/KRIs, and risk posture to stakeholdersSupport audits and compliance efforts (e.g., SOC 2, ISO 27001, PCI DSS, HIPAA) and align controls to frameworks (NIST CSF, CIS Controls)Conduct third‑party/vendor security reviews and support contract/security requirementsDrive security awareness initiatives and phishing simulations; mentor engineers on secure practicesContribute to business continuity and disaster recovery planning and testingAutomate repetitive tasks and integrations to improve scale and reliabilityRequired QualificationsBachelor’s in Computer Science, Engineering, Information Security, or equivalent practical experience3+ years of hands-on cybersecurity engineering, blue team, or security operations experience (adjust years for your level)Strong understanding of networks and protocols (TCP/IP, DNS, HTTP(S)/TLS, routing, VPN, firewalls, Zero Trust concepts)Practical experience with two or more: SIEM, EDR, IDS/IPS, WAF, CSPM/CIEM, vulnerability scanners, SAST/DAST/SCA, PAM/IGA, PKICloud security experience in at least one major cloud (AWS/Azure/GCP): IAM, network security, KMS, logging/monitoring, security servicesProficiency in scripting/automation (e.g., Python, Bash, PowerShell) and exposure to IaC/Config management (Terraform, CloudFormation, Ansible)OS administration and hardening (Windows, Linux, macOS) and endpoint security fundamentalsFamiliarity with MITRE ATT&CK, common attack techniques, and modern detection strategiesExperience participating in incident response and writing/runbook-level documentationKnowledge of cryptography basics (encryption at rest/in transit, key rotation, cert management)Clear communication skills and ability to partner with cross‑functional teamsMust be a US citizen living within the United States.Understanding of cybersecurity principles, practices, and frameworks, including JSIG, NIST 800-171, NIST 800-53, ITAR, and CMMC.Preferred QualificationsDevSecOps experience embedding security into CI/CD, artifact signing, and SDLC governanceContainer/Kubernetes security (admission controls, runtime policies, image scanning)Data protection and privacy controls (DLP, tokenization, data classification)Identity security (SSO/MFA, conditional access, PAM, IGA) and Zero Trust architecturesThreat intelligence integration and use-case development; basic digital forensicsSOAR playbook design and automation; custom detections and log enrichmentExperience with regulatory environments (e.g., healthcare, fintech, government)Contributions to security architecture reviews and risk assessments at scaleCertifications a plus: Security+, GSEC, GCIH, GCIA, GCED, CISSP, CCSP, CCSK, OSCP, AZ‑500, SC‑100, AWS Security SpecialtyExperience with tools such as Splunk/Microsoft Sentinel, CrowdStrike/Defender, Qualys/Nessus, Burp/ZAP, Prisma/Aqua/Twistlock, Trivy, Checkov/tfsec, Vault/KMS, Okta/Azure AD, Palo Alto/Fortinet, ElasticActive TS Security Clearance.Compensation$98,400 - $147,600 a yearBenefitsWe offer highly competitive benefits, including:Health and Family- Medical/Dental/Vision- Employee Premiums are 100% Company Paid- Life Insurance- Flexible Work Hours- Unlimited Paid Time Off (PTO) with federal government holidaysFinancial- Competitive Compensation- 401k- Company Stock Options- Home Office Setup BudgetLearning- Reimbursement for approved trainings and subscriptions- Conferences (travel, lodging, and fees)Note - some benefits are not available to interns or contractors.Thank you for your interest in Istari. Expect to hear back from us soon with next steps.#J-18808-Ljbffr

Dynamic Environment

Security Engineer

GroupSecure Palo Alto, CA

Wij zijn GroupSecure. Een Twentse club met een gezonde dosis humor, veel technische kennis en nul poespas. We zijn de enige partij in Twente die zich volledig richt op cybersecurity. Dat is waar we goed in zijn en waar we iedere dag beter in willen worden.Onze cultuur? Plat, technisch en een beetje nerdy. Je krijgt hier veel vrijheid, maar ook de verantwoordelijkheid die daarbij hoort.Wat je gaat doenAls Security Engineer ben jij het aanspreekpunt voor systeem- en netwerkbeheerders bij onze klanten. Jij helpt ze verder als het echt technisch wordt.Je houdt je bezig met:Derde lijns ondersteuning op afstandBeheertaken op firewalls: updates, upgrades, onderhoudWijzigingen doorvoeren in netwerk-, firewall- en endpointconfiguratiesOndersteuning bij interne IT-takenRemote consultancy op bestaande configuraties, samen met onze consultantsKortom: jij zorgt dat alles technisch klopt en veilig blijft draaien.Wat we van je vragenJe hebt al wat ervaring in support en vindt het leuk om klanten te helpen. Verder:Je hebt ervaring in 2e of 3e lijns supportJe kent je weg in LinuxJe snapt hoe netwerken werken en kunt ze ook zelf configurerenNederlands is je moedertaalJe bent leergierig, nuchter en niet bang om je handen uit de mouwen te stekenPluspunten (maar geen must):Kennis van Cisco MerakiEerder gewerkt bij een IT-partner in een vergelijkbare rolBij GroupSecure werk je met mensen die net zo gek zijn van techniek als jij. We hebben veel kennis in huis en delen die graag. Je kunt hier doorgroeien, certificeringen halen en je verder verdiepen in cybersecurity.Verder kun je rekenen op:Een omgeving waar je écht kunt lerenKansen om je kennis te verdiepen en je rol te verbredenCollega’s met humor (en af en toe een LAN-party)Een goede pensioenregeling (6% eigen bijdrage)Als onderdeel van de selectie vragen we je om een technische opdracht te maken. Geen ellenlange gesprekken over certificaten, maar gewoon laten zien wat je kunt. We worden namelijk niet warm van een rijtje diploma’s, maar wel van mensen die écht goed zijn in hun werk.Zie jij jezelf in deze rol en denk je: dit past bij mij? Mooi. Deze vacature wordt exclusief behandeld door Genrise. Voor vragen of sollicitaties kunt u contact opnemen via [email protected] of 074 234 04 01.Nieuwsgierig naar een samenwerking met ons?Neem contact met ons op voor een kop koffie en laten we eens kijken hoe we elkaar kunnen vinden.#J-18808-Ljbffr

Work Life Balance

Cybersecurity Engineer

Silvereye IT Solutions Private Limited Palo Alto, CA

As a Cybersecurity Engineer, you will be responsible for safeguarding enterprise IT infrastructure, applications, and data through proactive monitoring, threat detection, and implementation of robust security controls. The role requires hands-on experience in security operations, vulnerability management, and incident response, along with a strong passion for continuous learning in cybersecurity technologies and practices.Experience :2–3 years of relevant experience in cybersecurity operations and infrastructure security.Keyskills :Network & Endpoint Security, Firewalls (Fortinet/Palo Alto/Sophos), SIEM Tools(Splunk/QRadar/ELK), Vulnerability Assessment & Remediation, Incident Response,IDS/IPS, Endpoint Protection, Email & Web Security, Identity & Access Management(IAM), Cloud Security (AWS/Azure/GCP), Scripting (Python/Bash), ITIL & ISO 27001ProcessesMonitor, detect, and respond to cybersecurity incidents across infrastructure and applications.Perform regular vulnerability assessments and coordinate remediation efforts withrelevant teams.Manage and optimize SIEM tools for effective log correlation, alerting, and reporting.Configure and maintain firewalls, IDS/IPS, and endpoint security solutions.Implement and enforce security policies, access controls, and compliance requirements.Collaborate with network and system teams to strengthen security posture across alllayers.Conduct root cause analysis for security breaches and recommend preventivemeasures.Support audit readiness, security documentation, and awareness initiatives.Participate in incident, change, and problem management activities.Perks and Benefits :Exposure to enterprise-grade cybersecurity tools and real-time threat environments.Mentorship from senior security professionals and opportunities for upskilling inadvanced security domains.Salary :Competitive salary and performance-based incentives#J-18808-Ljbffr

Security Engineer

Telkomuniversity Palo Alto, CA

Required Skills and QualificationsBachelor's in Computer Science, Cybersecurity, or related fieldMin experience 0-2 years of hands-on experience in IT security or infrastructure rolesStrong knowledge of: Network architecture & protocols (TCP/IP, DNS, VLANs)Identity & Access Management (AD, LDAP, Azure AD)Cloud security (AWS/Azure/GCP)Familiarity with SIEM tools (Splunk, QRadar, Sentinel)Strong analytical and problem-solving skillsExcellent communication (for tech and non-tech audiences)Ability to manage priorities and deliver under pressureCollaborative mindset, able to work with DevOps, IT, and business stakeholdersWaktu : 08.00-17.00LokasiKota Jakarta SelatanJenis PekerjaanFull-timeGajiNegotiable#J-18808-Ljbffr

Hardware Engineer

Acceler8 Talent Palo Alto, CA

Base Pay Range$150,000.00/yr - $250,000.00/yrAcceler8 Talent is partnered with a seed‑stage startup ushering in a new generation of AI‑driven chip development. This team is building the intelligence layer that compresses the path to tape‑out from years to months and is hiring a Founding Hardware Engineer to help shape this next era of silicon.Their technology amplifies hardware engineering teams across DI, DV, and PD workflows, assists in building IP from scratch, and keeps human experts fully in control throughout the process. Originating from academic research and growing quickly, the company brings together cutting‑edge ML and deep semiconductor expertise to redefine a trillion‑dollar industry.What You’ll DoDrive RTL design and verification efforts that power the platform’s AI‑assisted chip design capabilities.Own hardware evaluation frameworks and lead benchmarking and analysis initiatives.Partner with ML engineers to convert hardware needs into precise, actionable specifications.Build and scale hardware testing infrastructure used to validate AI‑generated designs.Engage directly with clients to gather hardware requirements and communicate them to internal technical teams.Architect end‑to‑end hardware evaluation pipelines, from requirements capture through full validation.What You'll BringBS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline.Prior work on a chip‑design or tape‑out team (e.g., NVIDIA, Synopsys, Cadence). For founding‑level roles, at least 5 years of industry experience.Strong Python and Bash skills; capable of writing scripts, pipelines, and CI/CD tooling around EDA workflows.Hands‑on experience with common Synopsys/Cadence tools (Xcelium, Genus, Innovus, etc.) and associated TCL‑based flows.Specialization (one of the following):Design Integration / RTL / Architecture: Experience creating complex IP in SystemVerilog.Design Verification: Proficiency in UVM and SystemVerilog‑based verification methodologies.Physical Design: Background in synthesis, floorplanning, P&R, timing closure, or physical verification on advanced‑node designs.BonusExperience on AI‑for‑chip‑design initiatives (e.g., at Synopsys, Cadence, NVIDIA) or familiarity with DFT or power‑optimization flows.Methodology/flow development experience, especially building production systems that coordinate handoff across multiple design stages.#J-18808-Ljbffr

Machine Learning Engineer

Second Renaissance Palo Alto, CA

About Arc InstituteThe Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state‑of‑the‑art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.About the positionWe are searching for an experienced and collaborative machine learning research engineer focused on advancing the frontiers of biological foundation models. This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focused on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute‑wide machine‑learning efforts.About youYou are an innovative machine learning engineer with a deep understanding of ML principles, enabling you to design, modify, and critically evaluate model architectures, not just apply existing ones. You have significant experience in training large deep learning models.You enjoy thinking from first principles, seeking to deeply understand the data and its underlying dynamics to drive effective and innovative modeling strategies.You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks.You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.In this position, you willActively participate in the design, implementation, and refinement of state‑of‑the‑art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems.Engineer large‑scale distributed model pretraining and pipelines for efficient model inference.Enable robust systematic evaluation of trained models.Stay up‑to‑date with the latest advancements in technologies for large‑scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state‑of‑the‑art.Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.Job RequirementsB.S., M.S. or Ph.D. in Computer Science, Machine Learning or a related field.Minimum of 5‑8+ years of relevant experience in machine‑learning research or ML engineering in an academic (e.g., Ph.D.) or industry research lab.Well‑versed in machine‑learning frameworks such as PyTorch or JAX.Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron‑LM.Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers.Motivated to work in a fast‑paced, ambitious, multi‑disciplinary, and highly collaborative research environment.The base salary range for this position is $168,000‑$242,500. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.#J-18808-Ljbffr

Site Reliability Engineer

FLUIX Palo Alto, CA

FLUIX is building the AI operating system that plans, designs, and optimizes AI infrastructure. We are based in Silicon Valley. We specialize in providing AI-driven solutions for data centers and power providers, leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies. Our mission is to double America’s compute capacity without building new data centers.We are seeking a skilled Site Reliability Engineer to join our growing team. The ideal candidate will help ensure the reliability, scalability, and performance of our hybrid-based (Cloud & On-Prem) platform while supporting our AI/ML infrastructure. You will work closely with our engineering, AI, and operations teams to build and maintain robust systems that support our cutting-edge solutions. Your expertise in ML/AI and experience with data center sites will be crucial in driving the success of our platform.Who you’ll work closely withFounder & CEOChase OvercashCTOWhat you’ll doDesign, implement, and maintain scalable systems while optimizing performance, ensuring high availability and disaster recovery, and assisting with codebase refactoring for modular deployment.Develop and maintain automation tools to streamline operations, improve efficiency, and automate repetitive tasks to enhance system reliability.Collaborate with engineering and data science teams to integrate ML and AI models into production environments, while ensuring seamless integration and high performance of cutting-edge models within our technology stack.Identify areas for improvement and drive initiatives to enhance system reliability and performance, while staying updated on industry trends and advancements in SRE practices, ML, and AI technologies.Respond to and resolve incidents to minimize impact and ensure timely resolution, while conducting post-incident reviews and implementing improvements to prevent recurrence.Create and manage multiple cloud instances (dev, staging, test), optimize cloud infrastructure and data center operations, and ensure the security and compliance of both infrastructure and applications.Your backgroundBachelorʼs degree in Computer Science, Engineering, or a related field (or equivalent experience).Proven experience as a Site Reliability Engineer or similar role in a SaaS environment, with a strong background in managing and optimizing cloud infrastructure (AWS preferred, or GCP, Azure), experience with ML and AI technologies, and familiarity with data center operations integrations.Proficiency in programming and scripting languages (e.g., Python), experience with containerization and orchestration tools (Kubernetes), a strong understanding of networking, security, and performance optimization, and knowledge of CI/CD pipelines and DevOps practices.Excellent problem-solving skills with attention to detail, strong communication and collaboration abilities, and the capacity to thrive in a fast-paced, dynamic startup environment.Culture FitWe are looking for obsessed individuals who want to give it their all.We are not afraid to get our hands dirty with physical and software systems.We are eager to visit and work with clients and understand the importance and gravitas of their mission-critical work.We are eager to come into the office and on-site, as our work directly affects physical environments.Due to our mission-critical work, we understand and our eager to help our teammates and co-workers during holidays, weekends, and emergencies.We are cordial and over-communicate with teammates, co-workers, and management.Attractive compensation package, including equity options.Comprehensive health, dental, and vision insurance, along with other standard benefits.A dynamic and collaborative San Francisco Bay Area work environment.Opportunities for professional growth and development, with the chance to shape the future of technology in the industry.#J-18808-Ljbffr

Security DevOPS Engineer

DivIHN Integration Inc Palo Alto, CA

Pay RangeDivIHN Integration Inc provided pay range: $80.00/hr - $90.00/hrDirect message the job poster from DivIHN Integration Inc.TitleSecurity DevOps Engineer - RemoteLocationRemoteDuration4 MonthsJob DescriptionSummaryContract Security DevOps Engineer with deep Python and cybersecurity experience to build and harden data pipelines and tooling for Client Zero Labs threat intelligence platform.Key ResponsibilitiesBuild/extend Python ETL for high-value intel feeds (APIs, dumps, snapshots).Stand up reproducible lab pipelines (containers, IaC) with CI/CD and security tests.Normalize TI schema (IOCs, TTPs, CVEs) and implement enrichment (actor, family, asset criticality).Automate triage/scoring into research backlogs; publish artifacts for analysts.Deliver an internal analyst SDK/CLI (search, pivot, tag, export) plus runbooks and handoff docs.Collaborate with Core Eng, SecOps, Data, and Legal/Compliance.Required Qualifications5+ years Python for security/data engineering (async IO, typing, packaging, testing).Containers/IaC (Docker, Terraform), CI/CD (GitHub Actions/GitLab), secrets mgmt.Experience with security telemetry, threat intel feeds, and TI schemas (STIX/TAXII helpful).Data pipeline tooling (Airflow/Dagster/Prefect) and message queues (Kafka/Redis).Seniority levelMid-Senior levelEmployment typeContractJob functionInformation Technology, Consulting, and ResearchIndustriesSoftware DevelopmentIT Services and IT ConsultingComputer and Network SecurityBenefitsMedical insurance401(k)Referrals increase your chances of interviewing at DivIHN Integration Inc by 2x.#J-18808-Ljbffr

Software Engineer, Android

Tinder Palo Alto, CA

Join to apply for the Software Engineer, Android role at TinderThis range is provided by Tinder. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$145,000.00/yr - $190,000.00/yrOur MissionLaunched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”Our ValuesOne Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.The Team The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous.As an Android engineer at Tinder, you will have an outsized impact and ownership of the most visible aspects of the Tinder App. We are deeply invested in challenging norms, constantly improving architecture design, exploring emergent tech and ideas, and leveraging new technologies in interesting ways to deliver an app that is widely known across the world.Where you’ll workThis is a hybrid role and requires in-office collaboration three times per week. Our offices are located in Los Angeles, Palo Alto or San Francisco.In this role, you will:Contribute to the architecture, design, and implementation of consumer-facing features in the Tinder App using the latest technologiesBuild new compelling in-app experiences that will reach millions of users globallyCoordinate with the product and design team(s) to influence the roadmap and product development of the Tinder App and servicesCreate and maintain internal shared frameworks and librariesShape the future of optimized analytics at Tinder from the ground up with innovative data tools for the analytics and data scientist team(s)Evolve Tinder’s architecture to support multiple authentication flows and account managementMentor, collaborate, and learn with innovative and passionate team membersYou’ll need3+ years of professional experience building native Android applicationsSignificant experience building applications in KotlinStrong software architecture experienceWell versed in design patterns ( MVP, Clean/MVVM)Experience writing your own Repositories and FactoriesUnderstanding of the value of Dependency Injection and implementing DaggerExperience writing your own test scriptsProficiency using coroutinesClear and solutions oriented communication style with a passion for code qualityNice to haveExperience designing and architecting full-stack applications, including API design and UI wireframingSomeone who understands material design guidelines (e.g. you know how to be a good Android citizen while maintaining a strong unique brand identity)Clear communication style within a collaborative team environmentThe ability to combine good judgment, empathy, and technical skillsBS or MS in Computer Science or EngineeringAs a full-time employee, you’ll enjoyUnlimited PTO (with no waiting period), 10 annual Wellness DaysTime off to volunteer and charitable donations matchingComprehensive health, vision, and dental coverage100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocationInvestment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional developmentInvestment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidyFree subscription to Tinder GoldCommitment to InclusionAt Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:https://www.lifeattinder.com/deiIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.#TinderThe salary range for this position is $145,000 - $190,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, Palo Alto or San Francisco. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.Seniority levelNot ApplicableEmployment typeFull-timeJob functionSoftware Development, Consumer Services, and Technology, Information and InternetReferrals increase your chances of interviewing at Tinder by 2xSign in to set job alerts for “Software Engineer” roles.Software Engineer, AI Platform - New GradMountain View, CA $145,000.00-$170,000.00 3 hours agoSoftware Engineer - Frontend - eBay LiveSan Jose, CA $95,200.00-$190,100.00 1 day agoSan Francisco Bay Area $160,000.00-$180,000.00 2 weeks agoSoftware Engineer (L4), Content & Business ProductsSan Francisco Bay Area $160,000.00-$180,000.00 2 weeks agoFull Stack Engineer (L5) - Consumer Data SystemsSoftware Engineer, Systems and InfrastructureMountain View, CA $114,000.00-$189,000.00 2 weeks agoFull Stack Software Engineer (L4), Product Localization EngineeringSan Jose, CA $113,400.00-$206,300.00 2 days agoMountain View, CA $114,000.00-$189,000.00 17 hours agoSan Jose, CA $113,400.00-$206,300.00 2 days agoMenlo Park, CA $157,000.00-$230,000.00 2 weeks agoSan Jose, CA $113,400.00-$206,300.00 2 days agoMountain View, CA $152,000.00-$228,000.00 1 week agoSoftware Development Engineer - Front EndSan Jose, CA $133,900.00-$242,000.00 2 weeks agoSoftware Engineer, Google Store, Front EndMountain View, CA $141,000.00-$202,000.00 4 days agoNew College Grad Software Engineer, Software Engineering Development (Apps)San Jose, CA $106,600.00-$142,100.00 1 week agoSan Jose, CA $113,400.00-$206,300.00 1 week agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr

Best Match

Frontend Software Engineer

HeyGen Palo Alto, CA

About HeyGenAt HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.Learn more at www.heygen.com. Visit our Mission and Culture doc here.Position SummaryHeyGen, a trailblazing AI-powered platform transforming the landscape of video creation, is seeking a talented Frontend Engineer to join our dynamic team. As a Frontend Engineer at HeyGen, you will play a crucial role in shaping the future of our cutting-edge platform, focusing primarily on the development and enhancement of its user-facing components.Key ResponsibilitiesFrontend Development: Design, implement, and maintain high-quality frontend features for the HeyGen platform. Ensure optimal performance, scalability, and responsiveness of the user interface.Collaboration: Work closely with UX/UI designers to translate designs and wireframes into high-quality code. Collaborate with backend engineers and product managers to ensure seamless integration of frontend and backend components.User Experience Focus: Prioritize user experience in all development efforts. Conduct user testing and feedback sessions to refine and improve the platform interface.Maintenance & Optimization: Monitor frontend performance, identify and resolve issues. Stay updated with emerging frontend technologies and best practices to continually enhance the platform's user interface.QualificationsExperience with responsive and adaptive design principles.Familiarity with RESTful API integration.Understanding of version control systems like Git.Excellent problem-solving skills and attention to detail.Prior experience in SaaS and AI product development is a plus.What HeyGen OffersCompetitive salary and benefits package.Dynamic and inclusive work environment focused on innovation and creativity.Opportunities for professional growth and skill development.Collaborative culture that values teamwork and employee input.Access to state-of-the-art technologies and tools.Salary Range$180,000 – $240,000 annuallyPlease note that the salary information is a general guideline only. HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!Apply for this job#J-18808-Ljbffr

Data Infrastructure Engineer

HeyGen Palo Alto, CA

About HeyGenAt HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.Learn more atwww.heygen.com . Visit our Mission and Culture doc here .Position Summary:At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV , Photo Avatar , Instant Avatar , Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.Key Responsibilities:Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples includeMulti-modal data processing framework and applicationsStorage and computation efficiencyAI model evaluation and productionization infrastructureCollaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.Assist in budget planning and management of cloud resources and other infrastructure expenses.Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldProven experience in managing infrastructure for large-scale AI or machine learning projectsExcellent problem-solving skills and the ability to work independently or as part of a team.Proficiency in PythonExperience optimizing computational workflowsFamiliarity with AI and machine learning frameworks like TensorFlow or PyTorch.Preferred Qualifications:Experience with GPU computingExperience with distributed data processing systemExperience building large scale batch inference systemPrior experience in a startup or fast-paced tech environment.What HeyGen OffersCompetitive salary and benefits package.Dynamic and inclusive work environment.Opportunities for professional growth and advancement.Collaborative culture that values innovation and creativity.Access to the latest technologies and tools.HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Apply for this job*indicates a required fieldFirst Name *Last Name *Preferred First NameEmail *PhoneResume/CVEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtf#J-18808-Ljbffr

Staff Reliability Engineer

ALSO. Palo Alto, CA

Get AI-powered advice on this job and more exclusive features.About ALSOWe’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.ALSO is looking for a Reliability Engineer to play a key role in developing and leading the reliability of multiple electric mobility vehicles over the full development cycle.What You Will DoEstablish reliability targets and metrics for new product development that include actuators, batteries, drive units, PCBAs, chassis, and various low voltage electronic systems.Develop new reliability tests procedures and specifications such as highly accelerated life testing, environmental testing, and other reliability tests to demonstrate reliability.Apply various types of acceleration models for creation of reliability tests to accurately predict product lifetime under accelerated stress conditions.Prepare concise and detailed test plans and analyze test reports. Provide updates and progress on various testing campaigns.Guide the engineering teams on failure modes, typical countermeasures for reliability failures, and design guidelines. Provide risk analysis to guide design decisions.Monitor field performance and identify trends in failure.Leading and facilitating FMEAs with cross-functional teams and developing design verification plans from these activities.What You Will BringMinimum Bachelor of Science in an engineering discipline or equivalent. Five or more years of industry experience in a reliability engineering role.Technical knowledge of one or more aspects related to PCBA reliability, energy storage systems, drive units, and chassis components.Working knowledge of a coding language, preferably Python.Working knowledge of statistical software for reliability, such as JMP or the ReliaSoft suite, or MATLAB.Working knowledge of failure analysis techniques such as SEM, CT, X‑Ray, EDS, TDR.Experience with instrumentations for data collection and testing such as thermocouples, strain gauges, accelerometers.Experience with deploying reliability testing guidelines and inventing new ways of testing.Ability to use FEA software (Eg. Ansys Sherlock) for product life prediction in creation of reliability tests.The salary for this position ranges from $220,000 to $255,000 per year, depending on experience and qualifications.Why ALSOWe’re passionate about helping the world find a better way to get there—wherever it is you’re headed. We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we’re working hands‑on to imagine, design and build an entirely new solution to a global set of transportation challenges.Perks And BenefitsRobust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options.One Medical membership and dedicated insurance advocates.Rich fertility and family building benefits with Progyny.Flexible time off.401(k) match.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionEngineering and Information TechnologyIndustriesMotor Vehicle Manufacturing#J-18808-Ljbffr

Staff Hardware Engineer

BrightAI Palo Alto, CA

Staff Hardware Engineer at BrightAIBrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies. We are dedicated to revolutionizing industries and transforming the way businesses operate. Our team is composed of the best and brightest minds, many of whom have played key roles in leading companies such as Microsoft, Amazon Alexa, SmartThings, and Samsung.We are looking for a Hardware Engineer to join our dynamic team in a fast-paced environment. As a Hardware Engineer at BrightAI, you will play a pivotal role in designing and building next-generation hardware/software/AI systems. You will be responsible for the design, component selection, layout, debug and validation for our world-class products.ResponsibilitiesDefine and capture hardware system features, functions, and interfaces, guiding products seamlessly through their developmental and certification processesLead and oversee the entire lifecycle of a hardware project, from conceptualization to production, ensuring all aspects align with project goals and specificationsSpecify, construct, and present proof-of-concept hardware, demonstrating a deep understanding of its functionality and potentialCollaborate with both domestic and international suppliers, fostering effective communication and maintaining strong working relationshipsEstablish and uphold comprehensive company-wide hardware development processes, adhering to industry standards such as CMMI or equivalent methodologiesIdentify, integrate, and troubleshoot issues in both mechanical and electrical hardware components, ensuring seamless system functionalityProficiently create and maintain circuit schematics and PCB layouts using Altium or Cadence tools, demonstrating precision and attention to detailFacilitate the successful initiation of new circuit boards containing ARM CPUs and MCUs, managing the entire process from conception to implementationDevelop and execute hardware verification test plans, ensuring the robustness and reliability of the hardware solutionsContribute to the creation of board support packages for Linux OS, including the installation and modification of software drivers as neededInnovate electrical architecture solutions to optimize designs for the unique requirements of each new projectDesign, model, simulate, and verify both analog and digital circuits to meet project specifications and performance criteriaSkillfully layout and optimize routing on PCBs, with a focus on high-speed buses to enhance overall system performanceProvide essential support to software engineering in development and troubleshooting efforts, fostering a collaborative and cohesive work environmentUndertake travel as necessary to support critical hardware bring-up, manufacturing processes, and customer support initiativesFulfill other duties as assigned, contributing to the overall success and efficiency of the hardware development teamSkills and ExpertiseBachelor's or Master's degree in Electrical EngineeringOver 7 years of hands-on experience with a strong emphasis on circuit board designKnowledge of embedded system design, encompassing circuit design, testing, debugging, and firmware developmentStrong skills in analog and mixed-signal circuit design and simulationExperience in selecting, interfacing, and configuring camera sensorsExperience in designing and implementing digital interfaces, including MIPI (camera and display), USB, I2C/SPI, SDIO, UART as well as wireless protocols such as LTE, Bluetooth, and Wi-Fi/BluetoothRegulatory experience, particularly with FCC and PTCRB certifications and familiarity with electronics test instruments (oscilloscopes, logic analyzers, meters, spectrum analyzers, etc.)Familiarity with video pipeline principalsApplied knowledge of modern printed circuit board schematic and layout design software (Altium or Cadence)Excellent written and verbal communication skills with the ability to present a strong rationale for design decisionsProficient soldering skills, including placing and replacing both Surface Mount Technology (SMT) and thru-hole components; IPC-610 certification preferredFamiliarity with using and testing software in the Linux operating systemUnderstanding of verification and validation strategies/executionBonusExpertise in wireless antenna design, simulation, and testingSkills in Python and Bash scriptingExperience with Docker container technologyHands-on knowledge of Product Lifecycle Management (PLM) SystemsSeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentLocation: Mountain View, CA#J-18808-Ljbffr

Senior Fullstack Engineer, Care Delivery

Midi Health Palo Alto, CA

Senior Fullstack Engineer, Care DeliveryThe difference you will makeWe're looking for a senior fullstack engineer to join our growing team as we rapidly scale towards our mission of revolutionizing healthcare. You will focus on our Care Delivery product vertical, building and integrating products that extend across the entire clinician and operational lifecycle at Midi. You will also drive large projects through all developmental stages - early brainstorming and requirements refining, architectural design, execution, testing, rollout and iteration.If you are a highly motivated, pragmatic engineer looking for a dynamic role in a mission driven company, this role is for you!What you will doWork collaboratively with other engineers, PMs and clinical stakeholders to enhance existing products and bring new products to lifeBuild and own clinician and operations facing products end-to-endCraft exceptional, thoughtful, scalable and flexible products and code, balancing for speed of execution and scalabilityActively contribute to and influence engineering processes, culture, practices, and systemsAnalyze complex technical problems and architect elegant and effective solutionsReview code and collaborate with teammates on technical decisionsAbout YouYou have 6+ years of experience building scalable engineering solutions across the stack.You are an expert at Django/Python.You have experience building operational and workflow management systems.You possess a proactive ownership mindset.You are a believer in automated testing, continuous integration, and high code quality.You have interest and experience in coaching/mentoring junior engineers.You take a collaborative approach to building software with both engineering and non-engineering team members.You help create a respectful, low-ego team environment, approaching discussions with curiosity and humility.Nice to HaveInterview Process:Hiring Manager Screen (45 min)Live Technical Assessment (90 min)On-Site Interview and lunch (150 min)At this time, Midi Health is not able to sponsor or take over sponsorship of any employment visa (including H-1B, TN, or other work authorization). Applicants must be authorized to work in the U.S. without current or future visa sponsorship.While you are waiting for us to review your resume, here is some fun content to check out.At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$220,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company.We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at [email protected] Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.#J-18808-Ljbffr

Machine Learning Engineer, Reinforcement Learning, Self-Driving

Tesla Palo Alto, CA

Site Reliability Engineer - US Government

x.ai Palo Alto, CA

Site Reliability Engineer - US GovernmentPalo Alto, CA; Washington, D.C.About xAIxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the RoleWe are seeking a highly skilled Senior Infrastructure Engineer to join our US Government Team, focused on designing, building, and operating secure, scalable infrastructure for critical government projects. In this role, you will develop and manage training and inference clusters, as well as highly reliable applications, across bare metal, classified cloud, and hybrid cloud architectures. You will leverage your expertise in Kubernetes and GPU hardware to deliver robust, secure systems that support large‑scale AI workloads while meeting stringent federal compliance requirements. This role demands a passion for automation, observability, and ensuring system integrity in a fast‑paced, high‑security environment.ResponsibilitiesDevelop and optimize software to provision and manage xAI’s infrastructure across on‑premise, virtual machine, and classified cloud environments, enabling efficient scaling for US government initiatives.Enhance the reliability, performance, and cost‑effectiveness of infrastructure to support large‑scale AI and application workloads in secure, classified settings.Collaborate with xAI engineers to understand workload requirements and design tailored solutions that meet government‑specific needs and compliance standards.Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems, adhering to federal protocols.Manage storage infrastructure using Infrastructure‑as‑Code (IaC) tools such as Pulumi, Terraform, or Ansible, with a focus on secure data handling.Drive system reliability through incident management, post‑mortems, and the definition of clear SLAs and SLOs, while maintaining security and compliance.This is an in‑person role based in Palo Alto, CA or Washington, DC, with up to 50% travel required.Required QualificationsActive Top Secret (TS) security clearance.5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or similar role, with a focus on building and maintaining reliable, scalable systems, preferably in secure or government environments.Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible.Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components.Demonstrated ability to improve system reliability through incident management, post‑mortems, and defining SLAs/SLOs.Excellent communication and documentation skills, with the ability to handle sensitive information concisely and accurately.Preferred QualificationsDeep familiarity with installing and using GPU hardware, including setting up drivers, debugging issues, and ensuring reliability.Experience with high‑traffic web or mobile application workloads, including optimizing Kubernetes for large‑scale deployments in classified or federal settings.Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience in government projects.Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation.Strong sense of ownership, curiosity, and enthusiasm for tackling complex technical challenges in secure environments.Passion for problem‑solving and a proactive drive to deliver impactful results while adhering to security protocols.Certifications in security‑related fields (e.g., CISSP) or experience in secure federal environments.Interview ProcessAfter submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15‑minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes:Technical deep‑dive: Discussing your infrastructure and secure systems experience.A hands‑on challenge focused on designing or troubleshooting infrastructure for secure environments.A meet‑and‑greet with the wider team.Our goal is to complete the main interview process within one week.Annual Salary Range$180,000 - $440,000 USDBase salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long‑term disability insurance, life insurance, and various other discounts and perks.Interested in building your career at xAI? Get future opportunities sent straight to your email.#J-18808-Ljbffr

Senior Software Engineer, Data

Anvilogic, Inc. Palo Alto, CA

Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies.Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.Learn about our customers: anvilogic.com/customersJOB DESCRIPTIONAs a Senior Software Engineer, Data at Anvilogic, you are responsible for designing, building, and operating our high scale data ingestion pipelines. You will work directly on company critical projects related to how our users’ data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk.Design, build, and operate data ingestion and normalization pipelinesWork with product management teams to map out non-functional requirements and implement those requirements in your servicesDeploy and monitor resources in cloud and data lake providersSpread knowledge of data pipeline best practices throughout Anvilogic through mentorship, documentation, and brown bag sessionsMinimum Qualifications4+ years of software development experienceExcellent written and verbal communication skillsExperience with data lakes such as Snowflake or DatabricksExperience with cloud providers such as AWS, GCP, or AzureExperience with defining non-functional requirements, measuring SLOs, and balancing tech foundation and product timelinesAbility to quickly come up to speed on our data pipeline techstack, which uses Python deployed on Snowflake and Databricks via AWS, Azure, and GCP.Preferred QualificationsExperience with ingesting large amounts of user data into Snowflake or DatabricksExperience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK).Experience with observability technologies like Grafana and SentrySome experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks.Familiarity with security data (e.g., endpoint and network logs)US Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location.Competitive salary with equity in the companyComprehensive medical, dental, and vision insuranceUnlimited paid time off policy for work life balance401(k) retirement plan with company matchMonthly stipend for home internet and cell phone expenses#J-18808-Ljbffr

Senior Software Engineer, Data

Anvilogic Inc Palo Alto, CA

Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies.Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.Learn about our customers. JOB DESCRIPTIONAs a Senior Software Engineer, Data at Anvilogic, you are responsible for designing, building, and operating our high scale data ingestion pipelines. You will work directly on company critical projects related to how our users’ data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk.Design, build, and operate data ingestion and normalization pipelinesWork with product management teams to map out non-functional requirements and implement those requirements in your servicesDeploy and monitor resources in cloud and data lake providersSpread knowledge of data pipeline best practices throughout Anvilogic through mentorship, documentation, and brown bag sessionsMinimum Qualifications4+ years of software development experienceExcellent written and verbal communication skillsExperience with data lakes such as Snowflake or DatabricksExperience with cloud providers such as AWS, GCP, or AzureExperience with defining non-functional requirements, measuring SLOs, and balancing tech foundation and product timelinesAbility to quickly come up to speed on our data pipeline techstack, which uses Python deployed on Snowflake and Databricks via AWS, Azure, and GCP.Preferred QualificationsExperience with ingesting large amounts of user data into Snowflake or DatabricksExperience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK).Experience with observability technologies like Grafana and SentrySome experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks.Familiarity with security data (e.g., endpoint and network logs)BenefitsUS Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location.Competitive salary with equity in the companyComprehensive medical, dental, and vision insuranceUnlimited paid time off policy for work life balance401(k) retirement plan with company matchMonthly stipend for home internet and cell phone expenses#J-18808-Ljbffr

Dynamic Environment

Senior/Staff Security Engineer

Zettabyte Palo Alto, CA

Senior/Staff Security EngineerAbout ZettabyteAt Zettabyte, we’re building the infrastructure layer for the AI-first world. Our mission is to make AI compute ubiquitous, seamless, and limitless by operating a cloud where AI workloads run securely at massive scale—anywhere, anytime.We run a multi-tenant GPU cloud for AI developers and enterprises. Security isn’t a support function here—it’s a core platform capability.Why this role existsZettabyte is scaling a shared, high-performance AI compute platform in a space where traditional cloud security models break down. Multi-tenant GPUs, high-speed networking, and untrusted customer workloads introduce security challenges that don’t have off-the-shelf answers.We’re hiring a Staff Security Engineer to define and own the security architecture of our platform. You’ll operate with wide latitude, shaping how isolation, detection, and trust are built into the system from day one.This role is ideal for someone who thrives in early-to-mid stage environments, enjoys working through ambiguity, and wants to build security systems that scale with the business—not slow it down.What you’ll doOwn the end-to-end security architecture for multi-tenant Kubernetes GPU clustersDesign tenant isolation, egress control, and network segmentation across compute, storage, and networking layersDefine and implement runtime security and intrusion detection for untrusted AI workloadsBuild security primitives (identity, secrets, encryption, policy enforcement) that platform teams build onSecure the software supply chain, from CI/CD pipelines to container admissionLead threat modeling and security design reviews for new platform featuresDrive compliance readiness (SOC 2, ISO 27001) without slowing engineering velocityAct as a force multiplier: unblock teams, set standards, and raise the security bar across the orgLead security incident response and turn incidents into systemic improvementsWhat we’re looking for7+ years of experience in security engineering for cloud-native, infrastructure, or distributed systemsDeep, hands-on expertise in Kubernetes security (RBAC, PSA, network policies, admission controllers)Strong understanding of cloud security primitives in AWS, GCP, or AzureExperience building or operating runtime security and policy enforcement (Falco, Cilium, OPA, Calico, eBPF-based tools)Solid grounding in network security and zero-trust architecturesPractical experience with secrets management and key systems (Vault, cloud KMS)Strong automation skills in Go, Python, or BashProven ability to operate autonomously, make architectural decisions, and deliver in ambiguous environmentsExperience partnering deeply with platform, infra, and SRE teamsBonus experience (nice to have, not required)GPU isolation and virtualization security (MIG, SR-IOV)InfiniBand, RDMA, or high-performance networkingHPC or large-scale multi-tenant compute platformsSecurity for AI/ML systems or data-intensive workloadsIncident response leadership or red team experienceSecurity certifications (CKS, OSCP, CISSP)Open-source contributions in security or cloud infrastructureWhat makes this role differentYou’ll define the security model, not just implement ticketsYou’ll work on real isolation problems in GPU and high-speed networking environmentsYou’ll influence architecture across the platform, not sit in a siloYou’ll help build a security culture at a company where speed and safety both matterCompensationCompetitive salary — commensurate with your experience and aligned with industry standardsMeaningful equity — be part of the upside as we build a category-defining company. Your grant will align with your role and the experience you bring.#J-18808-Ljbffr

Senior ML Engineer: Scalable AI & LLM Systems

SAP Belgium NV/SA Palo Alto, CA

A global software company seeks a Senior Machine Learning Engineer to design and deliver AI and LLM systems. You'll shape cutting‑edge infrastructure, mentor engineers, and tackle complex challenges. Ideal candidates have a Bachelor's degree and 6 years of experience in software engineering and AI/ML. This role offers a salary range of $148,600 to $306,300 based on experience and skills, and is based in Palo Alto, California.#J-18808-Ljbffr