Posting record
Open 12+ days
- Flowengineering's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Flowengineering, so its true age is longer.
Last checked Nov 2, 2026.
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Upload your resumeWhat the posting discloses
- Pay
- $240k to $300k a year USD
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
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 are 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.
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