214 staff infrastructure engineer jobs at 111 companies in Cotati, CA
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Member of Technical Staff, Infrastructure Engineer
San Francisco, California, United States
$175k-$240k/yrOnsiteFull Time
Edison Scientific: Developing autonomous AI agents for scientific research and discovery.
5+ YOE5+ years of infrastructure or platform engineering experience; production Kubernetes, cloud infrastructure, infrastructure-as-code, GitOps, networking, storage, security, and systems or backend language experience required.
Headway: A building a software platform to expand access to mental healthcare and simplify provider operations.
10+ YOE10+ years building and leading data infrastructure, strong Python and SQL, Snowflake and cloud (AWS) experience, infra-as-code (Terraform/Pulumi/AWS CDK), Airflow, observability, and cross-team technical leadership.
F2: AI-driven financial analysis platform for private market investors
7+ YOE7+ years building and scaling cloud infrastructure on AWS/GCP; expertise with containers, IaC (Terraform/Pulumi/CloudFormation), CI/CD, Postgres/Redis, message systems (Temporal/SQS/Kafka), SOC 2 and security practices.
Abridge: Automates medical documentation through AI-powered speech analysis
8+ YOE8+ years software engineering experience,5+ years IaC,cloud-native (GCP/AWS) experience,expert in infrastructure and security automation,Python and Kubernetes proficiency,strong cross-functional communication.
Member of Technical Staff - GPU Infrastructure Engineer
San Francisco, California, United States
OnsiteFull Time
Liquid AI: Develops efficient general-purpose artificial intelligence foundation models.
Strong software engineering with production infrastructure tooling, deep distributed systems/Linux/networking/storage knowledge, experience operating shared compute clusters and supporting production users.
Atoms: Building specialized industrial robots and physical AI systems.
6+ YOE6+ years operating GPU compute on Kubernetes, strong Python/Go programming, experience with Terraform or CloudFormation, bare-metal Linux and GPU hardware familiarity, and strong automation and reliability focus.
Atoms: Building robotics and software to automate physical world industries.
6+ YOE6+ years operating GPU compute on Kubernetes, strong Python/Go programming, familiarity with Terraform or CloudFormation, experience with bare-metal Linux, GPU hardware, and networking; strong automation and reliability focus.
Kubernetes, Python, Go, Terraform, CloudFormation, Linux
Seattle or San Francisco or Detroit or United States
$180k-$279k/yrHybridFull Time
Rocket CompaniesNYSE: RKT: Provides digital mortgage, real estate, and personal finance services.
7+ YOE7+ years AWS/cloud infra; 5+ years PostgreSQL/AWS services; Linux admin/scripting; mentoring; infrastructure as code and security; AI code generation tools; on-call readiness.
AWS, PostgreSQL, Aurora/RDS, S3, ElastiCache, OpenSearch, DynamoDB, Linux, Python, Infrastructure as Code, Security practices, AI code generation tools
Mirendil: Developing frontier artificial intelligence models to accelerate scientific research.
Experience building compute and cloud foundations for frontier AI research, including Kubernetes, multi-cluster compute, secure sandboxing, networking, training/inference infrastructure, and state management for long-running agents.
Member of Technical Staff - Machine Learning Infrastructure Engineer
San Francisco or Toronto or Seattle
$180k-$300k/yrOnsiteFull Time
Preference Model: Building reinforcement learning environments to train frontier AI models.
Experienced software engineer with production ML/data infrastructure skills, proficiency with PyTorch or JAX, distributed systems, AWS/GCP, Kubernetes, data pipelines, and familiarity with transformers and inference libraries like vLLM.
Staff Software Engineer - AI Research Infrastructure
San Francisco or New York City
$199k-$270k/yrHybridFull Time
Databricks: A unified platform for data analytics and artificial intelligence.
5+ YOEBS/MS or PhD in computer science; 5+ years of software engineering experience in distributed systems or infrastructure; strong experience with GPUs, clusters, and cloud platforms; proficient in systems languages and large-scale job orchestration.
Member of Technical Staff – Senior Engineer, Data & Training Infrastructure
San Francisco or Cambridge
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Builds general-purpose robots and the data and training infrastructure to improve quality of life.
Strong experience in systems/ML infrastructure and distributed training, performance optimization, observability, and technical leadership; ability to mentor engineers and remove bottlenecks.
Together AI: Cloud platform for training and deploying artificial intelligence models.
7+ YOE7+ years in platform engineering or SRE; deep Kubernetes, Terraform, AWS, networking, observability, and infrastructure automation experience; proficiency in Go, Python, or TypeScript; strong design and cross-team leadership skills.
OpenAI: Develops artificial intelligence models and generative AI software services.
10+ YOE10+ years building and operating large-scale infrastructure and backend systems; strong experience with cloud, identity systems, distributed systems, and infrastructure as code; proficient in Go, Rust, Python; collaboration and security mindset.
Go, Rust, Python, Cloud platforms, Infrastructure as Code
Member of Technical Staff, Infrastructure / DevOps
San Francisco, California, United States
OnsiteFull Time
Plato: Building foundational infrastructure to train specialized AI agents.
Experience building or operating distributed systems, cloud infrastructure, orchestration, and developer tooling; strong debugging, reliability, observability, and collaboration skills with researchers and engineers.
Lightfield: AI-powered CRM automating customer interaction capture and insights.
Experience owning production data systems, strong software engineering fundamentals, debugging across stack, query performance and schema evolution, product-oriented judgment.
Wispr Flow: Provides AI-powered voice dictation software for computers and mobile devices.
Experienced platform engineer to design and own scalable infrastructure, improve latency, integrate product and ML systems, and drive platform reliability and developer velocity.