11 staff storage software engineer jobs at 11 companies in Fairfield, CA
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Staff Software Engineer - Infrastructure Storage
San Francisco or San Jose or Bellevue
$314k-$465k/yrHybridFull Time
Lambda: Provides high-performance GPU cloud infrastructure for AI development.
10+ YOE10+ years storage systems engineering with 5+ years in a Staff/lead IC role; proficiency in low-level systems languages (C/C++/Rust/Go); hands-on experience with object, block, and file protocols and storage performance tooling; data center operational experience.
Bellevue or Dallas or Livingston or New York or San Francisco or Sunnyvale
$207k-$303k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
10+ YOE10+ years storage systems experience, proficiency in object/distributed storage and systems languages (Go/C++/Rust), experience with S3/NFS/Ceph/DAOS, and strong debugging and collaborative skills.
Poughkeepsie or Lowell or Rochester or Tucson or Research Triangle Park or Armonk or Boston or Bellevue or Atlanta or San Jose or Dallas or Austin or San Francisco or Seattle or New York City
$161k-$299k/yrHybridFull Time
IBMNew York Stock Exchange: IBM: Global technology providing enterprise software, cloud, and consulting.
10+ YOE10+ years backend/infrastructure experience; BS in CS or equivalent; expertise in Java/Scala/C/C++/Go; deep knowledge of distributed storage systems, systems-level concepts, and leadership/mentoring skills.
Member of Technical Staff (Software Engineer, Storage Platform)
San Francisco or New York City or Palo Alto
$220k-$405k/yrOnsiteFull Time
Perplexity: AI-powered search engine providing conversational answers with citations.
5+ YOE5+ years building and operating large-scale backend or infrastructure systems; deep experience with at least one major database (Postgres, MySQL, DynamoDB, Cassandra); strong distributed systems, data modeling, and performance optimization skills; proficiency in Go, Rust, or Python; experience owning services end-to-end including on-call.
Anthropic: Developing safe and reliable artificial intelligence systems.
Deep experience building and operating production database/storage systems, strong distributed database knowledge, SQL proficiency, experience leading large infrastructure projects, and strong cross-functional leadership.
San Francisco or Ottawa or Charlotte or Phoenix or Toronto or Los Angeles or Denver or Salt Lake City or Atlanta or Raleigh or Chicago or Houston or Portland or New York City or Vancouver or San Diego or Sacramento or Jacksonville or Seattle or Mexico City or Austin or Miami or Boston or Dallas
$145k-$275k/yrRemoteFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
10+ YOE10+ years building backend, distributed, or data-intensive systems; production Rust and strong Python; storage and database expertise; AWS, infrastructure as code, operational excellence, technical leadership, and mentoring.
Databricks: A unified platform for data analytics and artificial intelligence.
15+ YOE15+ years in distributed systems; BS/MS/PhD in CS or related; experience with large-scale data/storage systems; strong algorithms; customer-focused; leadership in projects.
Apache Spark, Delta Lake, Iceberg, SQL, Python, Java, C++, Distributed Systems
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
8+ YOE8+ years in software or data engineering; strong Python/SQL; experience building data infrastructure, ingestion, storage, orchestration; cloud (AWS, Kubernetes); relational/NoSQL databases; cross-functional collaboration.
Metriport: Provides an open-source API for healthcare data interoperability.
8+ YOE8+ years building and operating large-scale data platforms; experience with ingestion, storage, processing, warehousing, streaming, and leadership; strong software engineering and mentorship skills.
FastlyNYSE: FSLY: Provides edge cloud platform for content delivery and cybersecurity.
7+ YOE7+ years engineering experience designing and operating highly-available data pipelines and distributed systems; experience with relational and non-relational storage, pub/sub messaging, REST API design, on-call, and mentoring.
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.