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  • 4-H Data Systems Analyst 3 - Davis, CA, Job ID 82838

    University of California Agriculture and Natural Resources 3.6company rating

    Senior systems engineer job in Davis, CA

    Under the direction and supervision of the Statewide 4-H Director, the 4-H Data Systems Analyst applies advanced analytical concepts, organizational objectives, and database integration principles to assist with the management and development of the statewide 4-H enrollment and reporting system. This role involves analyzing extensive and multi-layered processes and problems; developing identified online system needs and solutions; collaborating to ensure all new and updated enrollment system processes will improve efficiency of the University of California 4-H (CA 4-H) Youth Development Program's enrollment system. The incumbent provides subject-matter expertise to inform enrollment system design, data integrity, reporting, training, and compliance across related platforms used in CA 4-H. This includes serving as the primary liaison with vendors, county offices, statewide staff, and external partners to ensure the enrollment system and related tools meet program, policy, and compliance requirements. The position is responsible for designing data methodologies, developing statewide enrollment reporting frameworks, and analyzing program participation trends to inform organizational decision-making. The analyst also leads requirements gathering and analysis to translate statewide operational, programmatic, and policy needs into technical specifications. The 4-H Data Systems Analyst participates in the development of enrollment system training, resources, and system enhancements. The role requires the ability to manage multiple, high-level projects, anticipate and adapt to organizational needs, and deliver innovative, data-driven solutions that increase efficiency, compliance, and program effectiveness across CA 4-H. This position independently applies advanced data systems concepts to resolve complex issues and shape statewide system functions. The position also collaborates with the 4-H Policy Analyst to ensure that all applicable UC, state, federal, and 4-H policy changes are integrated into the enrollment system. The 4-H Data Analyst also collaborates on policy-based issues impacting the UC 4-H enrollment system, UC ANR digital enterprise system, and the national 4-H network for data management and enrollment reporting. This position is a career appointment that is 100% fixed. The home department is CA 4-H. While this position normally is based in Davis, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: $ 81,500.00/year to $ 115,800.00 /year Job Posting Close Date: This job is open until filled. The first application review date will be 12/16/2025. Key Responsibilities: 40% Statewide Data System Coordination and Support: Provides strategic oversight and management of the statewide 4-H enrollment database and related systems, ensuring data integrity, compliance, and security. Participates in the design and oversees implementation of system features, integrations, and workflows to increase efficiency and effectiveness of program operations. Assists with the development of statewide methodologies for extracting, validating, and reporting data, ensuring alignment with UC, state, and federal reporting requirements. Serves as primary liaison to vendors and developers, advocating California's system needs and ensuring successful system enhancements and problem resolution. Ensures consistent application of data governance and quality assurance practices across all statewide enrollment data workflows. Collaborates with Statewide 4-H Director, 4-H Policy Analyst and others to anticipate and interpret applicable policy changes (UC, state, federal and 4-H) and integrates them into enrollment system design and user processes. 20% Data Analysis, Reporting, and Policy Support: Designs and delivers advanced reporting dashboards, data visualizations, and analyses to support statewide monitoring, compliance, and decision-making. Conducts complex analyses of program participation and system usage, identifying trends, gaps, and opportunities to inform leadership decisions. Leads requirements gathering and analysis to translate statewide operational, programmatic, and policy needs into technical specifications and system configurations. Serves as subject matter expert in translating program and policy requirements into actionable enrollment system processes. 30% Training, Communication, & Statewide Support: Assists with the design and implementation of statewide training programs, guidance materials, and communication strategies for all 4-H data system users, including county staff, volunteers, and families. Delivers advanced, multi-platform trainings (virtual and in-person), ensuring consistent statewide understanding and compliance. Coaches and advises county-level staff on complex system and policy questions, providing advanced-level troubleshooting and guidance. Represents California 4-H in national peer groups and committees related to enrollment and data systems, sharing best practices and advocating for program needs. 10% Additional Systems & Financial Reporting System: Provides secondary technical support for additional online 4-H systems, including the statewide financial reporting platform, as needed. Advises on future CA 4-H enrollment system technology adoption, integration, and system expansion opportunities to strengthen program operations. Review enrollment system functions for increased efficiencies in enrollment procedures and overall data collection and use. Provides subject-matter expertise to evaluate system functionality and recommend improvements to support statewide operational efficiency. Requirements: Bachelor's degree in a related field and extensive professional experience in data systems management, reporting, and analysis, or equivalent combination of education and experience Demonstrated expertise in database design, system implementation, and data security/integrity practices, including handling complex and sensitive data. Thorough knowledge of data visualization and reporting tools; ability to design dashboards and decision-support tools for executive audiences. Strong analytical, problem-solving, collaboration, and decision-making skills; ability to independently as well as collaboratively resolve highly complex issues requiring evaluation of multiple factors. Excellent written and verbal communication skills; ability to communicate technical concepts to diverse audiences. Ability to anticipate organizational needs, translate policy into operational procedures, and recommend strategic improvements. Demonstrate strong proficiency using Microsoft Office, Zoom, Google Workspace applications, Box, and similar collaboration and communication software tools. Preferred Skills: Master's degree in a related field and significant professional experience in data systems management, reporting, and analysis, and/or equivalent combination of education and experience. Knowledge of Cooperative Extension. 4-H knowledge of program delivery, including delivery modes. Experience managing vendor relationships and system development projects. Coding knowledge and experience Fluency in Spanish Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. Travel including travel outside normal business hours may be requested. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California https://apptrkr.com/get_redirect.php?id=6769020&target URL=Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes, but is not limited to, employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=82838&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-8bbf0097aafc724582da70acb5ae5a1e
    $81.5k-115.8k yearly 3d ago
  • Senior System Administrator

    Insight Global

    Senior systems engineer job in South San Francisco, CA

    Insight Global is seeking a talented and motivated System Administrator with experience in scripting, security, troubleshooting, and user support. The ideal candidate will possess expertise in supporting hybrid Active Directory and Exchange environments, Microsoft Defender for Endpoints, strong hardware and software troubleshooting skills, and excellent written and verbal communication skills. Key Responsibilities: Own email delivery and protection, including Exchange Hybrid and Proofpoint administration. Manage and support Windows Infrastructure both on-prem and in the cloud, including WSUS, Intune, Azure SSO Integration, Conditional Access, and ADCS. Administer hybrid Active Directory and Entra ID environments. Configure and maintain Microsoft Intune and SCCM for device management and co-management. Develop automation scripts using PowerShell or Python. Implement and manage Microsoft Defender for Endpoints. Administer Windows Server environments. Manage enterprise-level storage systems such as NetApp and Dell PowerScale (Isilon). Configure shares, set quotas, and troubleshoot performance issues on storage systems. Support virtualization technologies including VMware and Omnissa Horizon. Qualifications: Bachelor's degree in Computer Science, IT, or Cybersecurity, or 6+ years of relevant experience. Experience managing hybrid Microsoft Exchange Server and Exchange Online environments. Has supported hybrid Active Directory and Entra ID environments. Has managed Intune or SCCM, including co-management and integration with M365 services. Experience with Proofpoint or similar email security platforms. Strong scripting skills in PowerShell or Python. Experience with endpoint security solutions, preferably Microsoft Defender for Endpoints. Hands-on experience with enterprise storage systems (NetApp, Dell PowerScale) and virtualization (VMware, Omnissa Horizon).
    $112k-154k yearly est. 3d ago
  • Senior Lead IT / Systems Administrator

    Pac-12 Enterprises 2.9company rating

    Senior systems engineer job in San Ramon, CA

    About the Company At the Pac-12, we are passionate about sports and technology! As part of our team, you will play a key role in driving the engineering operations and technology initiatives that power our business. About the Role We are seeking a highly skilled and motivated Sr. Lead IT/Systems Administrator to oversee and optimize our company's IT infrastructure, ensuring it meets the needs of our growing business. This role is perfect for an experienced, hands-on IT leader who thrives on technical challenges, strategic planning, and leading teams to success. You will be responsible for designing, implementing, and maintaining complex IT systems, ensuring stability, security, and performance. The Sr. Lead IT/Systems Administrator will work closely with senior leadership to align IT strategies with business objectives while fostering a collaborative and innovative environment within the IT team. The ideal candidate will be well versed in multiple operating systems, including Windows, Mac, and Linux, and have strong expertise in SQL and Proxmox virtualized environments. They will be a hands-on leader with a collaborative, “let's do it together” attitude, committed to elevating the IT and Systems team. Experience with SentinelOne, NinjaOne, and JAMF is a strong plus. RESPONSIBILITIES Leadership & Team Management: Lead and mentor a team of IT support technicians and systems administrators, ensuring they have the resources, guidance, and training to grow and excel. Champion a collaborative and high-performance culture within the IT department, encouraging knowledge sharing, innovation, and growth. IT Infrastructure & Operations Management: Oversee the design, implementation, and maintenance of the company's IT infrastructure, ensuring network availability, reliability, and scalability. Manage system and server administration (Windows/Linux), SQL databases, cloud services, virtualized environments (e.g., VMware, Proxmox), and Mac environments. Ensure a secure, stable, and efficient IT environment by proactively identifying potential issues and implementing solutions. Maintain oversight of all IT assets, including hardware, software, and cloud services. Develop and maintain disaster recovery and business continuity plans to safeguard business operations. Strategic Planning & Project Management: Collaborate with senior leadership to develop and implement IT strategies that align with the company's overall business objectives. Oversee IT projects from initiation to completion, ensuring they are delivered on time, within scope, and within budget. Develop long-term technology roadmaps, recommending improvements and upgrades to ensure the IT environment is future-proof and scalable. Manage and optimize IT budget, ensuring efficient allocation of resources and cost-effective solutions. Security & Compliance: Ensure that IT systems are secure, compliant with industry standards, and adhere to data protection regulations. Develop and enforce IT security policies, implementing robust security measures such as OS firewalls, encryption, and intrusion detection. Conduct regular security audits and risk assessments to identify vulnerabilities and mitigate risks. Stay current with industry trends and evolving cybersecurity threats, ensuring the organization is always protected. Vendor & Stakeholder Management: Manage relationships with external vendors, service providers, and contractors, ensuring service level agreements (SLAs) are met and costs are controlled. Lead negotiations and procurement for IT services, equipment, and software. Collaborate with other departments and business units to understand and support their technical needs. User Support & Training: Oversee the development and delivery of IT training programs to enhance user knowledge and improve system efficiency. Ensure the IT helpdesk provides high-quality, timely support for all staff across various technical issues. Ensure documentation and knowledge bases are continuously updated to support end-user training and troubleshooting. QUALIFICATIONS Education: Bachelor's degree in Information Technology, Computer Science, or related field. Experience: 8+ years of experience in IT operations, with a minimum of 2-4 years in a senior technical role overseeing infrastructure and systems management. Proven expertise in managing large-scale IT infrastructure, including networks, servers (Windows/Linux), virtualization platforms (VMware, Proxmox), cloud technologies (AWS, Google Cloud), and database management. Demonstrated ability to design, implement, and support highly available, secure, and scalable IT systems. Strong background in IT security and risk management, including experience with firewalls, VPNs, intrusion detection systems, and encryption technologies. Proven success in managing IT budgets, resources, and complex projects. Technical Skills Solid understanding of networking protocols (TCP/IP, DNS, DHCP) Expertise in systems administration, including Windows Server, Linux, Mac and cloud environments. Experience with database management (MSSQL Server). Proficiency with cybersecurity tools, practices, and frameworks (e.g., firewalls, endpoint protection, SIEM, SentinelOne). Soft Skills: Exceptional leadership and team management skills, with the ability to motivate and develop high-performing teams. Strong problem-solving, analytical, and troubleshooting abilities. Excellent verbal and written communication skills, able to translate technical concepts to non-technical audiences. Strong project management skills, able to prioritize and manage multiple projects simultaneously. Results-oriented with a proactive, “can-do” attitude. Preferred Qualifications: Relevant certifications such as CompTIA Network+, Security+, Microsoft Certified: Windows Administrator, AWS Certified Solutions Architect, PMP, or ITIL. Experience with broadcast technologies (e.g., playout automation, video servers, MAM, streaming protocols) is a plus. WORKING CONDITIONS: Primarily office-based in San Ramon, CA with occasional remote work flexibility. Evening or weekend work for system maintenance, upgrades, or emergency support. Evening or weekend work to provide IT and systems support for scheduled live productions. Limited travel to other company locations may be required. COMPENSATION The exact salary will depend on the successful candidate's, relevant skills, experience, and qualifications. PAC-12 OVERVIEW The Pac-12 stands at a defining moment in its history. Founded in 1915, the league's rich legacy of athletic and academic excellence spans over 100 years. Supported by world-class service and empowerment, Pac-12 student-athletes have earned more than 500 NCAA team championships. Now with a renewed and bold vision for its future, the Pac-12 has undergone significant transformation on its journey to launching a new collegiate athletics conference, custom-built for both the modern-day student-athlete and an evolving college sports landscape. Under the leadership of Commissioner Teresa Gould, the Pac-12 embarks on creating a new legacy, composed of nine member universities, a one-of-its-kind and state-of-the-art broadcast production facility in San Ramon, CA., and a reimagined commercial enterprise that is uniquely positioned to drive strategic partnerships, brand enhancement, revenue generation and other growth opportunities to unlock new and lasting value for both its member universities and its student-athletes. Currently composed of Oregon State University and Washington State University, the league will welcome seven new full members beginning with the 2026-27 season, including Boise State University, Colorado State University, California State University, Fresno, Gonzaga University, San Diego State University, Texas State University and Utah State University. ```
    $97k-128k yearly est. 2d ago
  • System Engineer

    Acceler8 Talent

    Senior systems engineer job in San Francisco, CA

    Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!
    $250k yearly 1d ago
  • Senior Infrastructure Engineer

    Hamilton Barnes 🌳

    Senior systems engineer job in Sonoma, CA

    Join a ground-breaking AI platform company, founded by top AI researchers and successful entrepreneurs, that is building the first Agentic AI Platform for SAP Custom Code. This critical infrastructure role focuses on leading our enterprise deployments, requiring deep expertise in multi-tenant SaaS patterns and security-stringent client environments. You will use Infrastructure-as-Code (Terraform) and container orchestration (ECS/Fargate) to manage complex customer migrations and quickly resolve high-impact issues. This is a unique opportunity to end tech debt for Fortune 500s and disrupt a $100B+ industry, directly impacting the world's largest companies. Responsibilities: Deploy, configure, and manage customer environments using containerized orchestration (ECS/Fargate) and Terraform modules across multiple client environments. Quickly diagnose and resolve high-impact production issues to maintain strict migration schedules. Continuously synthesize field insights from deployments to design, code, and ship improvements into the core product. Uphold strict security and compliance standards required by large enterprise clients. Manage secrets, authentication systems (OAuth2/OIDC/SAML, Keycloak), and integrate with enterprise systems. Skills/Must have: Cloud & Containerization: Proven expertise with AWS services (ECS/Fargate, ALB, S3, Secrets Manager) and Docker. Infrastructure as Code (IaC): Deep experience with Terraform for provisioning and managing environments. DevOps & Automation: Extensive experience in infrastructure automation and DevOps best practices. Security & Auth: Experience with secrets management and authentication systems (OAuth2/OIDC/SAML, Keycloak). Education: Bachelor's degree in Computer Science or related technical field. Salary: $150k - $200k
    $150k-200k yearly 15h ago
  • Senior Infrastructure & Deployment Engineer

    Ikuto

    Senior systems engineer job in Santa Rosa, CA

    Senior Infrastructure Engineer Full-time | On-site (San Francisco) $200K + meaningful equity We're hiring a Senior Infrastructure Engineer to help build and run the infrastructure behind a next-generation enterprise AI platform. You'll take ownership of deployment architecture, automation, and reliability across multiple customer environments, working closely with engineering and forward-deployed teams to ensure smooth delivery of our product at scale. This is a hands-on role for someone who enjoys deep technical work, solving complex infrastructure challenges, and shaping how a modern AI platform is deployed into large organisations. What you'll be doing Designing and operating containerised environments using tools such as Docker and AWS orchestration services. Building and maintaining infrastructure-as-code modules to automate customer deployments. Handling configuration, rollout, upgrades, and troubleshooting across cloud and hybrid environments. Diagnosing and resolving high-impact issues quickly to keep customer projects on track. Feeding insights from real implementations back into the product to help improve performance, scalability, and reliability. Working with customer engineering teams to ensure deployments align with security and compliance requirements. What you'll bring Strong background in infrastructure engineering, DevOps, or platform engineering (5+ years). Hands-on experience with AWS services (e.g., container orchestration, networking, storage, and secrets management). Deep knowledge of Docker and Terraform, plus a passion for automation. Experience working in multi-environment or multi-tenant SaaS setups. Familiarity with authentication technologies (OIDC/OAuth/SAML), secrets management, and secure deployment practices. Ability to communicate clearly with both internal teams and enterprise technical stakeholders. Nice to have Experience supporting deployments into highly regulated or security-focused organisations. Exposure to on-prem or hybrid-cloud software delivery. Understanding of modern backend stacks (Python, FastAPI), databases, or event-driven systems. Why join You'll be part of a small, fast-moving team building production-grade AI technology used by large, well-known enterprises. We ship quickly, work collaboratively, and value engineers who take ownership and enjoy solving problems that haven't been solved before. If you're excited by the idea of shaping infrastructure for a cutting-edge AI platform-and want your work to have immediate impact-we'd love to speak with you.
    $200k yearly 3d ago
  • Senior Infrastructure Engineer

    Crossing Hurdles

    Senior systems engineer job in San Francisco, CA

    Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup focused on tackling end-to end SAP Custom Code Modernization with AI Agents to disrupt a $100 billion industry. Our client has raised $8.5 million in funding to accelerate growth and expand operations. Role - Senior Infrastructure/DevOps Engineer Location - San Francisco, US (Remote) Required Tech Stack - Docker, ECS/Fargate, Terraform, AWS, SAP, OData, OAuth2/OIDC, PostgreSQL, FastAPI Compensation -$150K - $200K+ Equity Benefits - Full health, dental, and vision benefits YOE - 5 - 10 years of experience Overall professional experience in infrastructure engineering and DevOps practices. Requirements: Deploy, configure, and manage customer deployments across environments (Kion, Festo, DTNA, Kyndryl) using container orchestration and Terraform for infrastructure provisioning. Resolve high-impact issues quickly to keep migrations on track. Design, code, and implement improvements based on field insights. Take ownership of infrastructure automation and DevOps practices for secure, efficient deployments. Collaborate with enterprise clients to ensure successful software deployments and integrations. Lead SAP system and OData service integrations with enterprise ERP environments. Roles & Responsibilities: 5-10 years of experience in infrastructure engineering and DevOps, with expertise in enterprise deployments and stringent security/compliance. Background in forward-deployed/solutions engineering and on-prem software deployments, with experience integrating with SAP systems and OData services. Bachelor's degree in Computer Science or related field. Deep expertise in Docker, ECS/Fargate, and Terraform, along with proven AWS experience (ALB, Secrets Manager, S3). Familiarity with secrets management systems (OAuth2/OIDC/SAML, Keycloak), PostgreSQL, WebSocket architectures, and FastAPI in multi-tenant SaaS environments.
    $150k-200k yearly 4d ago
  • Staff ML Infrastructure Engineer

    Cubiq Recruitment 3.7company rating

    Senior systems engineer job in Santa Rosa, CA

    Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
    $129k-186k yearly est. 4d ago
  • Senior Backend Infrastructure Engineer

    Hartleyco

    Senior systems engineer job in San Francisco, CA

    Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I'm partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn't a traditional DevOps or SRE position - it's a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You'll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they're robust, secure, and infinitely scalable. What You'll Be Doing: Take internal Node.js/TypeScript systems and deploy them to production on AWS Build and manage the infrastructure that powers scalable AI products Productionize backend systems for performance, reliability, and observability Implement containerization (Docker, ECS) and contribute to architecture decisions Work closely with engineers to expose APIs and backend data for front-end integration What They're Looking For: 5+ years of backend software engineering experience (Node.js, TypeScript, APIs) Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.) Proven track record deploying and scaling backend systems in production Comfortable with databases, containerization, and CI/CD workflows Experience in startup or small-team environments where you've owned the full lifecycle Nice to Have: Experience with queueing systems (Kafka, SQS) or serverless architectures Background building AI-powered or large-scale web systems Familiarity with performance monitoring and distributed systems You'll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you're an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I'll reach out with details.
    $131k-193k yearly est. 4d ago
  • Infrastructure Engineer

    Hackajob

    Senior systems engineer job in San Francisco, CA

    🚀 Hiring: Infrastructure Engineer | SF (Onsite Only) Chalk is building the data platform powering next-gen machine learning applications - eliminating the complexity and scale issues that hold teams back. Backed by a recent $50M Series A, we're growing fast and looking for an exceptional Infrastructure/Platform Engineer to join us onsite in San Francisco. What you'll do: • Build automation + orchestration for Chalk's ML data platform • Develop infra tooling across AWS/GCP using Python, Go, Terraform • Own deployments both in our hosted platform and customer cloud environments • Work across Compilers, DBMS, and distributed systems challenges • Contribute as an early engineer with high autonomy and impact What we're looking for: • 2+ years in infra engineering • Strong experience coding for infra automation • Python, Go, or Terraform proficiency • AWS or GCP hands-on experience • Strong collaboration skills - bonus if you've worked with customers or Sales teams Why Chalk? • High-growth startup, massive ownership • Competitive salary + generous equity • Fully stocked office, daily meals, strong benefits • 15 PTO days + 15 company holidays 🎄 • In-office culture (Mon-Fri) If you're excited about building the backbone of ML-driven systems at scale, let's talk! 🚀
    $115k-175k yearly est. 15h ago
  • Distributed Systems Engineer / AI Workloads

    The Crypto Recruiters 3.3company rating

    Senior systems engineer job in Sonoma, CA

    We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!
    $101k-139k yearly est. 3d ago
  • Distributed Systems Engineer

    Deeprec.Ai

    Senior systems engineer job in Santa Rosa, CA

    San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise
    $87k-121k yearly est. 1d ago
  • Senior Information Technology Support Engineer

    Programmers.Io 3.8company rating

    Senior systems engineer job in San Francisco, CA

    The Role: The IT Operations team designs, builds, and maintains the corporate technology infrastructure that powers our people and systems. We're seeking a highly skilled and proactive IT Support Engineer Lead to provide advanced technical support, strategic guidance, and hands-on leadership across our distributed workforce and helpdesk operations. In this role, you will oversee the deployment, configuration, and optimization of hardware and software solutions while ensuring reliability, security, and scalability. You'll play a key role in designing and implementing performance enhancements, streamlining IT operations through automation, and guiding the team toward best-in-class service delivery. Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork. Responsibilities: Lead and mentor the IT support team, setting standards for timely, high-quality technical assistance across mac OS, Windows, and SaaS platforms. Develop and execute strategies for end-user support, device configuration, and system maintenance to improve reliability and user experience. Administer and manage devices using MDM tools such as Intune, Kandji, and Automox, ensuring compliance and security standards are maintained. Manage and support critical SaaS platforms including Slack, Microsoft 365, Atlassian, Okta, and Zoom, handling integrations, permissions, and user lifecycle management. Configure and maintain core network services (DNS, DHCP), VoIP systems, and A/V confe rencing solutions to enable seamless collaboration. Collaborate cross-functionally with other teams to identify technical improvements, contribute to architectural decisions, and support organizational initiatives. Design and deliver training sessions for employees on software tools, hardware usage, and IT best practices to foster self-sufficiency and adoption. Drive automation and process improvement initiatives to increase efficiency and reduce manual intervention across IT workflows. Qualifications: 5-8 years of IT support experience in a fast-paced, dynamic environment, including 3+ years in a Lead or Level 2 role. Deep expertise with MDM platforms (Intune, Kandji) and endpoint management. Strong hands-on skills in hardware, software, and network troubleshooting, with a structured and analytical problem-solving approach. Experience managing Microsoft 365, Okta, and other SaaS ecosystems at scale. Solid understanding of networking protocols and configuration (DNS, DHCP, VPNs, VLANs, firewalls). Demonstrated success in mentoring junior IT staff, managing escalations, and improving helpdesk workflows. Familiarity with VoIP and A/V systems configuration and troubleshooting. Excellent communication and documentation skills, with the ability to translate technical concepts for non-technical users. A mindset focused on security, automation, and continuous improvement. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication
    $116k-149k yearly est. 2d ago
  • Auth0 Implementation Engineer

    Charter Global 4.0company rating

    Senior systems engineer job in Newark, CA

    Job Title: Auth0 Implementation Engineer Duration: 4 months Contract Notes: Details of the request include: • Must-have skill requirements of the role: Hands-on experience with Auth0 implementation and migration, application onboarding, standard access management, and IAM knowledge. Location/ Travel - Onsite Requirements: On-site 100% - Newark, CA. Contract description: Design, configure, and implement Auth0 solutions for identity and access management across enterprise applications. Lead migration projects from legacy authentication systems to Auth0, ensuring minimal downtime and data integrity. Onboard applications into Auth0, including integration with APIs and third-party services. Develop and enforce standard access management practices, including role-based access control (RBAC) and multi-factor authentication (MFA). Collaborate with security, development, and operations teams to troubleshoot and optimize authentication workflows. Qualifications: Proven hands-on experience with Auth0 implementation and migration in enterprise environments. Strong understanding of Identity and Access Management (IAM) concepts, protocols (OAuth2, OpenID Connect, SAML), and best practices. Proficiency in application onboarding and integration with authentication platforms. Familiarity with security standards and compliance frameworks (e.g., SOC2, GDPR). Excellent problem-solving skills and ability to work in cross-functional teams.
    $99k-132k yearly est. 4d ago
  • Senior Infrastructure Engineer

    Hamilton Barnes 🌳

    Senior systems engineer job in San Francisco, CA

    Join a ground-breaking AI platform company, founded by top AI researchers and successful entrepreneurs, that is building the first Agentic AI Platform for SAP Custom Code. This critical infrastructure role focuses on leading our enterprise deployments, requiring deep expertise in multi-tenant SaaS patterns and security-stringent client environments. You will use Infrastructure-as-Code (Terraform) and container orchestration (ECS/Fargate) to manage complex customer migrations and quickly resolve high-impact issues. This is a unique opportunity to end tech debt for Fortune 500s and disrupt a $100B+ industry, directly impacting the world's largest companies. Responsibilities: Deploy, configure, and manage customer environments using containerized orchestration (ECS/Fargate) and Terraform modules across multiple client environments. Quickly diagnose and resolve high-impact production issues to maintain strict migration schedules. Continuously synthesize field insights from deployments to design, code, and ship improvements into the core product. Uphold strict security and compliance standards required by large enterprise clients. Manage secrets, authentication systems (OAuth2/OIDC/SAML, Keycloak), and integrate with enterprise systems. Skills/Must have: Cloud & Containerization: Proven expertise with AWS services (ECS/Fargate, ALB, S3, Secrets Manager) and Docker. Infrastructure as Code (IaC): Deep experience with Terraform for provisioning and managing environments. DevOps & Automation: Extensive experience in infrastructure automation and DevOps best practices. Security & Auth: Experience with secrets management and authentication systems (OAuth2/OIDC/SAML, Keycloak). Education: Bachelor's degree in Computer Science or related technical field. Salary: $150k - $200k
    $150k-200k yearly 15h ago
  • Senior Backend Infrastructure Engineer

    Hartleyco

    Senior systems engineer job in Santa Rosa, CA

    Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I'm partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn't a traditional DevOps or SRE position - it's a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You'll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they're robust, secure, and infinitely scalable. What You'll Be Doing: Take internal Node.js/TypeScript systems and deploy them to production on AWS Build and manage the infrastructure that powers scalable AI products Productionize backend systems for performance, reliability, and observability Implement containerization (Docker, ECS) and contribute to architecture decisions Work closely with engineers to expose APIs and backend data for front-end integration What They're Looking For: 5+ years of backend software engineering experience (Node.js, TypeScript, APIs) Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.) Proven track record deploying and scaling backend systems in production Comfortable with databases, containerization, and CI/CD workflows Experience in startup or small-team environments where you've owned the full lifecycle Nice to Have: Experience with queueing systems (Kafka, SQS) or serverless architectures Background building AI-powered or large-scale web systems Familiarity with performance monitoring and distributed systems You'll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you're an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I'll reach out with details.
    $130k-193k yearly est. 4d ago
  • Staff ML Infrastructure Engineer

    Cubiq Recruitment 3.7company rating

    Senior systems engineer job in San Francisco, CA

    Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
    $128k-185k yearly est. 4d ago
  • Distributed Systems Engineer / AI Workloads

    The Crypto Recruiters 3.3company rating

    Senior systems engineer job in San Francisco, CA

    We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!
    $101k-139k yearly est. 3d ago
  • Agent Systems Engineer

    Acceler8 Talent

    Senior systems engineer job in San Francisco, CA

    Agent Systems Engineer - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows. What Will I Be Doing: Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks. Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use. Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior. Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains. What We're Looking For: Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks. Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution. Ability to reason about system-level failure modes, edge cases, and safe tool interaction. Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment. Above all, we're looking for candidates who demonstrate world-class excellence. What's in It for Me $200k - $300k dependent on experience and meaningful equity The chance to build foundational agentic infrastructure for physical AI Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs A role at the core of a rapidly growing, deeply technical team The opportunity to define how AI interacts with the physical world Apply now for immediate consideration!
    $87k-121k yearly est. 15h ago
  • Distributed Systems Engineer

    Deeprec.Ai

    Senior systems engineer job in San Francisco, CA

    San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise
    $87k-121k yearly est. 1d ago

Learn more about senior systems engineer jobs

How much does a senior systems engineer earn in Fairfield, CA?

The average senior systems engineer in Fairfield, CA earns between $94,000 and $177,000 annually. This compares to the national average senior systems engineer range of $82,000 to $141,000.

Average senior systems engineer salary in Fairfield, CA

$129,000
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