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Staff Software Engineer, Infrastructure

Join Flow Engineering as a Staff Software Engineer to build and scale the core platform for AI-native engineering collaboration.

Location
San Francisco
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Flow Engineering → Save job Scanned from flowengineering.com

Role intensity

60% hands-on coding

AI in the day-to-day

Enable hardware teams to collaborate with AI agents to design, validate, and evolve complex systems.

Requirements

Experience
3+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Benefits

Equity/Stock Options Flexible Time Off Health Insurance

Joblaze summary

In this role, the staff software engineer focuses on designing and operating backend services that enhance complex engineering workflows for Flow's AI-native platform. Key skills include experience with cloud environments, systems design, and infrastructure-as-code tools, particularly in a fast-paced setting. This position is ideal for someone with over three years of experience who thrives in collaborative environments and is comfortable taking ownership of projects. Flow's small, senior team emphasizes speed and iteration, making it a dynamic place for engineers looking to make a significant impact.

Joblaze insights

Quick facts

How much experience is required?
At least 3 years of relevant experience for this Staff Software Engineer, Infrastructure role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Docker, GCP, Node.js, PostgreSQL, React.
What seniority level is this role?
Flow Engineering targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Software Engineer, Infrastructure role at Flow Engineering.

From the original posting

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”).​

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