5 staff storage software engineer jobs at 5 companies in Massachusetts
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Staff Software Engineer - Confluent Kafka Storage
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.
8+ YOEBachelor's degree or equivalent,8+ years testing and launching software,5+ years building large-scale infrastructure or distributed systems,4+ years designing file and block storage,3+ years software design; EMphasis on storage performance and leadership.
Zus Health: Provides a shared platform for healthcare data interoperability.
Experienced engineer to build and operate large-scale, low-latency data services; strong backend skills in Go, cloud services, and data storage; leadership and mentoring experience.
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.
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.