Senior Full Stack Engineer, Secure Cloud (Enterprise AI Startup)
ScrumAID
San Francisco, CA · Posted November 1, 2026
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November 2026
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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
Our client is an AI startup that has just won a first government pilot and needs a senior engineer to carry its platform into a locked-down, high-security cloud environment. The job leans toward backend work and combines security-sensitive engineering with some AI pipeline work.
Scope
Re-create the company’s tech stack inside a government-grade Azure environment, emphasizing reliability, stability and security
Design and implement data separation by clearance tier, ensuring every person sees only information up to their own clearance
Keep the backend dependable and grow the infrastructure as more government users arrive; roughly 70 percent backend and 30 percent frontend
Partner with the machine learning engineer on migrating RAG pipelines, benchmarking models and reducing spend
Coordinate with the main platform group so new features reach the government deployment
About you
Five to ten years as a full stack engineer, including at least a year of work in DoD IL5 settings
Strong React, Next.js and Python skills
Machine learning, RAG and LLM experience, plus hands-on use of a major cloud AI platform
At least a year at a startup between seed and Series B
CS or STEM bachelor’s degree and the ability to explain technical topics to non-technical stakeholders
On-site in the San Francisco Bay Area or the South Bay Area (Silicon Valley). Visa sponsorship and transfers are not available.