499 data infrastructure engineer jobs at 258 companies in California
🚀PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
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.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
Decagon: Conversational AI platform for automated customer support.
5+ YOE5+ years building and operating production data infrastructure at scale; expertise with ClickHouse, Kafka, Flink; strong HA/low latency; excellent observability and incident response; clear written communication.
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
3+ YOE3+ years in data center or infrastructure engineering; strong Linux administration, x86 hardware, enterprise networking, BIOS/firmware and remote management; scripting with Bash or Python; on-site work and ability to lift/move servers.
Member of Technical Staff – Senior Engineer, Data Infrastructure & Data Operations
San Francisco or Cambridge
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Builds general-purpose robots and develops the teams and infrastructure to scale robot applications and improve quality of life.
Experience building production data infrastructure and high-throughput pipelines, cloud-based data platform development, platform reliability and cost ownership, and collaboration with ML teams.
Droyd: Builds and deploys teleoperated and autonomous robotic systems for large-scale construction and infrastructure buildout.
5+ YOE5+ years software development; experience architecting large-scale data pipelines; proficiency in Rust, Go, or Python; experience with streaming video/telemetry and edge/robot data a plus.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
10+ YOE10+ years relevant experience and Bachelor’s degree or equivalent; deep experience with data platform infrastructure, real-time pipelines, resilience engineering, and mentoring senior engineers.
OpenAI: Develops artificial intelligence models and generative AI software services.
10+ YOE10+ years electrical engineering in data centers or mission-critical facilities; strong MV/LV distribution, power system design, testing, and commissioning; leadership in design reviews and vendor evaluation; clear communication.
Field AI: Develops autonomous software brains for robots in unstructured environments.
3+ YOE3+ years infrastructure/platform experience, bachelor's or master's in CS/Engineering, cloud (AWS/GCP), Kubernetes, Terraform, Python/Go, production operations, security and cost management experience.
Mach9: AI-powered software that automates feature extraction from geospatial data.
3+ YOE3+ years in ML infrastructure; BS/MS in CS/Engineering; strong Python and PyTorch; data versioning, pipelines, and model serving experience; good communication.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
4+ YOE4+ years in data infrastructure/MLOps or infrastructure engineering; proficiency in Python; experience with Kubernetes and distributed systems; knowledge of large-scale compute and storage platforms.
TeradataNew York Stock Exchange: TDC: Provides cloud data analytics and enterprise AI software platforms.
Experience at the systems or infrastructure layer with OS/runtime behavior, Kubernetes and containerization, infrastructure provisioning, performance analysis (eBPF/kernel tuning), and exposure to analytical query engines and data platforms.
Genesis AI: Building general-purpose robots with human-level physical intelligence.
Experience building simulation and robotics infrastructure, strong software engineering in Python or C++, and knowledge of distributed systems, data pipelines, and production engineering practices.
Python, C++, genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
Build and scale data infrastructure for data engineering/ML; Kubernetes, Trino, Ray, MLflow; on-call; Go or Python; BS in CS/Engineering or equivalent.
Fable Security: AI-driven platform managing human risk and employee security behavior.
3+ YOE3+ years in data infrastructure or platform engineering; strong real-time and batch processing knowledge; Spark, Kafka, dbt, Airflow; cloud (AWS/GCP); startup environment.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Define and lead technical vision for core infrastructure across data services, cloud engineering, and traffic engineering for global, secure, elastic systems handling financial data.
SungrowShenzhen Stock Exchange: 300274: Manufactures solar inverters and energy storage systems for clean power.
5+ YOE5+ years infrastructure engineering with data center and cloud (AWS, Microsoft Azure), IaC (Terraform/CloudFormation/Bicep), Nutanix, disaster recovery, networking, and Tier 3 troubleshooting.
NeoSigma: Building infrastructure for self-improving agentic AI systems.
2+ YOE2+ years backend/infrastructure engineering; shipped real infra; multi-cloud (GCP/AWS/Azure); Kubernetes; Terraform; security-focused; data pipelines, storage, and caching; enterprise deployment patterns; high ownership; generalist; BS in CS or related (or equivalent).
Kubernetes, Terraform, Google Cloud Platform, Amazon Web Services, Microsoft Azure, SQL, Object Storage, Caching, SSO/SAML/SCIM, VPC, BYOC, Data Privacy, Audit Logging