Staff Software Engineer - Security

Flow Engineering; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, vision

Flexible time off

Meaningful equity

Job summary

Flow Engineering is seeking a Staff Software Engineer focused on security to own and advance the security architecture of our AI-native platform. You will lead hardening across the stack, drive SOC 2 readiness, and shape how we secure AI and agentic workflows in collaboration with product and sales teams.

The role demands extensive production security experience, startup leadership, and the ability to set the security agenda in a fast-paced environment.

Qualifications

• 8+ years building production software
• Deep experience in application and cloud security (AWS, GCP, or Azure)
• Experience owning security in regulated/high-trust environments; SOC 2 ownership a plus
• Threat modeling, secure architecture, incident response
• Security of AI/LLM systems
• Comfort leading security at a startup and setting the agenda

Responsibilities

• Own security architecture across the platform including threat modeling and secure design reviews
• Harden full stack: identity, network, secrets, data protection and tenant isolation
• Drive SOC 2 readiness and prepare for export control/ITAR
• Secure AI and agentic systems: prompt injection and data leakage controls
• Build security tooling for detection, monitoring, vulnerability management, and CI/CD
• Stand up and run incident response from detection to postmortems
• Collaborate with sales and product to navigate security reviews and win customers

Skills

Cloud security

Threat modeling

Incident response

Security architecture

SOC 2

AI/LLM security

Startup leadership

Tools

TypeScript/Node.js

Python

PostgreSQL

AWS/GCP/Azure

CI/CD

Job description

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.

About the role

Our customers in defense, aerospace and more trust us with sensitive systems requirements. That means security is a first-order part of the product, so we're looking for a Staff Software Engineer to own it.

This is our first dedicated security hire, so you'll define the security architecture, harden the platform, and build out the compliance posture. Since LLMs and agentic workflows sit at the center of what we do, you'll also lead how we secure them.

What you'll do

• Own security architecture across the platform: threat modeling, secure design reviews, and the standards we build against.

• Harden the full stack, from application security to cloud infrastructure (identity, network, secrets), tenant isolation, and data protection.

• Drive SOC 2 and get us ready for the certifications defense and aerospace customers ask about, including export control and ITAR.

• Secure our AI and agentic systems: prompt injection, data leaking through models, what actions agents are allowed to take, and guardrails.

• Build the security tooling we need across detection, monitoring, vulnerability management, and CI/CD.

• Stand up incident response and run it, from detection through postmortems.

• Work with sales and product to get through security reviews and win customer confidence.

About you

• 8+ years building production software, including running secure services at scale in the cloud.

• Deep experience in application and cloud security (AWS, GCP, or Azure): identity and access, secrets, network security, data protection.

• You've owned security in a regulated or high-trust environment and have implemented SOC 2 yourself. Export control, ITAR, or FedRAMP experience is a big plus.

• Solid on threat modeling, secure architecture, and incident response.

• You've secured AI or LLM systems.

• You're comfortable being the security lead at a startup and setting the agenda yourself.

Our stack (AI-leaning)

• TypeScript/Node.js and Python for AI and backend services.

• Modern LLM APIs and orchestration libraries for building agentic workflows.

• Postgres and other managed cloud services for data and state.

How we work & values

• Speed over everything: prototype AI workflows quickly, then harden what works.

• Own, downscope, ship, iterate: one clear owner per feature, from prototype to production.

• Fundamentals done well: evaluation, observability, and safety is part of the first version, not an afterthought.

• Competitive salary and meaningful equity.

• Health, dental, and vision coverage.

• Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.