Staff AI Platform Engineer - Armis

Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software. Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security. Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity. Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams. Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops. Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows. DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation. Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers). Founder’s Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking.

Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software. Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security. Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity. Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams. Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops. What We Expect Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows. DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation. Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers). Founder’s Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking. The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity. Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. Please click here to review our privacy practices.

Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software. Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security. Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity. Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams. Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops. Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows. DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation. Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers). Founder’s Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking.