Sobre este puesto de AI Harness Engineer en Armis Security
Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.
Armis is a privately held company headquartered in California.
What You'll Do
- Design and build secure AI infrastructure for production AI agents.
- Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution.
- Build embedded controls and security mechanisms directly into AI agents.
- Develop reusable services, APIs, and developer tooling that support AI applications.
- Build and maintain integrations with modern Agent SDKs and Model Context Protocol (MCP).
- Design backend microservices using Python and AWS.
- Build observability into AI systems, including telemetry, monitoring, tracing, and operational visibility.
- Develop public-facing developer tools and command-line interfaces (CLI).
- Partner closely with AI researchers to rapidly transition prototypes into production-ready systems.
- Own projects from architecture through deployment.
- Help define engineering standards and reusable patterns across the AI platform.
- Collaborate with stakeholders across the board in our Product, Sales, and Executive teams. Along with collaborate with senior engineers while independently leading technical initiatives when appropriate
What We're Looking For
Required
- 5+ years of backend software engineering experience.
- Experience building AI Harnesses is required
- Experience with Harness & AI Security is required
- Excellent Python development experience.
- Experience building backend services and microservice architectures.
- Experience working with AWS cloud services.
- Experience designing APIs and distributed systems.
- Hands-on experience building AI applications, AI agents, or agentic workflows.
- Experience working with Agent SDKs.
- Familiarity with Model Context Protocol (MCP).
- Experience building developer tools, APIs, or CLI applications.
- Strong understanding of software architecture and production engineering.
- Comfortable working in startup environments with significant ownership.
- Ability to independently drive projects from concept through production.
Preferred Qualifications
- Experience building Agent Control Planes.
- Experience implementing embedded controls or policy enforcement within AI agents.
- Experience building AI observability platforms.
- Security engineering background.
- Infrastructure engineering background.
- Experience building secure AI systems.
- Experience working with LLMs in production environments.
- Experience with Kubernetes and containerized services.
- Experience integrating AI systems with cloud infrastructure.
- Familiarity with AI governance, guardrails, and runtime security.
Pay range: $197,000 - $230,000 Bonus & RSU's
The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.
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.
