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4 staff storage software engineer jobs at 3 companies in San Diego, CA

3mo
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Software Segment Lead - Staff Software Engineer
San Diego or Palmdale
$177k-$266k/yr OnsiteFull Time
Northrop Grumman
Northrop GrummanNYSE: NOC: Global aerospace and defense technology.
8+ YOESTEM degree with 8–12 years engineering experience (depending on degree), active U.S. Top Secret clearance, ability to obtain SAP/PAR access, technical leadership experience in data acquisition, storage, processing and analysis, and experience driving cross-functional teams.
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Staff Software Engineer, Core Infrastructure
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/yr RemoteFull Time
Scribd, Inc.
Scribd, Inc.: AI-powered knowledge serving global readers, professionals, and learners through document, presentation, reading, and social book platforms.
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.
Rust, Python, Apache Arrow, Parquet, DataFusion, Amazon S3, PostgreSQL, MySQL, AWS, AWS Lambda, Amazon ECS, Amazon Aurora, Terraform, delta-rs, Claude Code
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3mo
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Software Segment Lead - Staff Software Engineer
San Diego or Palmdale
$177k-$266k/yr OnsiteFull Time
Northrop Grumman
Northrop GrummanNYSE: NOC: Global aerospace and defense technology.
12+ YOEBachelor’s in STEM with 12+ years or Master’s with 10+ years; TS clearance; on-site leadership in data solutions.
Big Data, Data Acquisition, Data Processing, Data Storage, Networking Protocols
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4d
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Staff Engineer, Data Platform (R5659)
San Diego, California, United States
$150k-$230k/yr OnsiteFull Time
Shield AI
Shield AI: Developer of AI-powered autonomous systems for defense and aerospace.
Significant distributed data systems experience; strong Go or Python software engineering; expertise in data modeling, APIs, storage, Kubernetes, Linux, networking, security, observability, and infrastructure as code.
Go, Python, Kubernetes, Linux, Terraform, Helm, GitOps, Ray, Kafka, NATS, Redpanda, Apache Arrow, Parquet, OpenAPI, AsyncAPI, WebSockets, S3
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