422 data infrastructure engineer jobs at 205 companies in Berkeley, CA
🚀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.
Lunar Energy: Provides home battery systems and clean energy software.
5+ YOE5+ years in database/systems infrastructure engineering with hands-on Vertica, SQL Server, and PostgreSQL administration; PowerShell and Python scripting; ETL pipeline development; RHEL/CentOS and Windows Server administration; VMware hypervisor experience.
Vertica, SQL Server 2016/2019 Enterprise, PowerShell, Python, PostgreSQL, VMware vSphere/ESXi, RHEL/CentOS 7.x, Windows Server 2016
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.
OpenAI: Develops artificial intelligence models and generative AI software services.
10+ YOESenior mechanical infrastructure engineer with 10+ years in data center or critical facilities; experience with liquid cooling, chilled water, CAD/design documentation, and vendor management.
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.
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.
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.
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
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
5+ YOE5+ years in data infrastructure or ML infrastructure; experience with large-scale data pipelines; distributed systems and cloud storage; proficiency with Ray or Spark; strong observability and production reliability; end-to-end ownership of systems.
Ray, Spark, Snowflake, BigQuery, Redshift, DVC, Delta Lake
Supio: AI-powered data analysis platform for personal injury law firms.
4+ YOE4+ years in data engineering or data science, experience building data infrastructure, data lakes and distributed systems, strong business acumen, independent execution, communication skills, and familiarity with LLMs/AI agents.