Staff Development Operations Engineer
Illumina
Staff Development Operations Engineer
Illumina
Develops sequencing platforms and consumables
Location
San Diego, CA hybrid. Not remote.
Position Summary
As a Staff DevOps Engineer, you will help shape how AI transforms software development and infrastructure services across the organization. As a key technical member of the DevOps team, you will design and build secure, scalable, enterprise-grade AI solutions; including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure.
You will work hands-on with teams across Infrastructure & Cloud Services and software development to solve complex technical challenges, establish sound engineering patterns, and enhance the end-to-end AI lifecycle; from experimentation, development, evaluation, and deployment to observability, governance, and continuous improvement. Through this work, you will accelerate the responsible adoption of reliable, production-ready AI solutions and improve how software teams build, deliver, and operate AI-enabled applications at enterprise scale.
Responsibilities
Requirements
Preferred
#LI-HYBRID
The estimated base salary range for the Staff DevOps Engineer role based in the United States of America is: $141,600 - $212,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.Illumina develops and sells integrated sequencing systems and the consumables needed to analyze genetic variation and biological function. Its instruments use sequencing-by-synthesis on flow-cell-based platforms, with specialized reagents and library preparation kits that are consumed per run. The company differentiates itself through a broad end-to-end ecosystem, a large installed base that drives repeat purchases, and strategic acquisitions that expand capabilities into multiomics and clinical applications. Its goal is to advance genomic analysis for research and clinical diagnostics to enable personalized medicine and early cancer detection.
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