Staff Infrastructure Engineer, Cloud and Reliability (AI Software)
ScrumAID
San Jose, CA · Posted November 1, 2026
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How AI is used in this kind of work
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Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
A growing AI software company needs a hands-on staff engineer to take charge of the live infrastructure that runs its AI products. The scope covers dependability, speed and spend, plus setting the standard for how a fast-scaling platform stays dependable.
Responsibilities
Design and evolve the AWS architecture that runs the products
Operate production databases, including sizing, replication and recovery
Establish expectations for uptime and quality on a rapidly expanding platform
Advise the team on early infrastructure choices such as languages and databases worth investing in
Cut latency and cost, and support real-time, latency-sensitive workloads
Qualifications
Eight or more years as an infrastructure, SRE or DevOps engineer, ideally as a founding or early infrastructure hire at a startup
Experience building cloud infrastructure from the ground up, provisioning it yourself
Deep AWS expertise and production PostgreSQL tuning
A record of measurable latency or cost reductions
Familiarity with CI/CD pipelines
Daily use of AI coding tools, or willingness to learn them
Hybrid in the South Bay Area (Silicon Valley), with on-site days as needed. Visa transfers considered.