Staff Software Engineer, Infrastructure
Flow Engineering
Listing collected from Flow Engineering's career site. NextChapter is independent of Flow Engineering.
San Francisco, CA · $240k–$300k a year · Posted May 28, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $270,000 a year. Across 229 open staff software engineer listings that state pay, the middle half runs $218,000 to $260,000 and the median is $242,000. That is 12% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Staff Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
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.
Skills this job asks for
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About the job
ABOUT FLOW
Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed.
ABOUT THE ROLE
Flow is hiring a staff software engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work.
You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate.
WHAT YOU’LL DO
- Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale.
- Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack.
- Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely.
- Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve.
- Contribute to architectural decisions and technical direction as the product and customer base grow.
ABOUT YOU
- 3+ years of software engineering experience building and operating production systems in a cloud environment (e.g., AWS or GCP).
- Strong understanding of systems design, distributed systems, reliability, observability, and security best practices.
- Experience with containerization and infrastructure-as-code tooling (e.g., Docker, Terraform, or similar).
- Comfortable owning projects end-to-end in a fast-paced environment and making pragmatic tradeoffs under ambiguity.
- Collaborative, low-ego, and excited to work closely with product, design, and customer-facing teams.
OUR STACK (INFRA-LEANING)
- TypeScript, Node.js, and React on the application side (with a strong bias toward type safety).
- Postgres and other managed cloud services for persistence and messaging.
- Containers, Terraform (or similar), and a major cloud provider (AWS/GCP) for infrastructure.
HOW WE WORK & VALUES
- Speed over everything: ship v1s quickly, learn, and iterate rather than chasing perfection.
- Own, downscope, ship, iterate: clear ownership, smallest real thing, tight feedback loops.
- Fundamentals done well: simple, repeatable systems that let us move fast without breaking trust.
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off and support for travel to customers when it matters (“get on a plane”).