Secure AI Infrastructure Engineer

Armis; Washington (District of Columbia); On-site; USD 197,000 - 230,000; Full time

Benefits offered by this job

RSUs

Bonus

Job summary

Armis is building the next generation of secure AI infrastructure. This hands-on engineering role collaborates with AI researchers and backend engineers to rapidly move ideas into production while helping establish engineering best practices across our AI Center of Excellence.

This is NOT a machine learning or model training role. You will design and build secure AI infrastructure for production AI agents, develop agent control plane capabilities, and build embedded controls and tooling to

Qualifications

• 3+ years of professional software engineering 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.

Responsibilities

• 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

Skills

Backend services

Distributed systems

APIs

AWS cloud services

Python

Agent SDKs

MCP

Developer tools/CLI

LLMs in production

Kubernetes

Tools

Kubernetes

Job description

Armis is building the next generation of secure AI infrastructure. This hands-on engineering role collaborates with AI researchers and backend engineers to rapidly move ideas into production while helping establish engineering best practices across our AI Center of Excellence.

This is NOT a machine learning or model training role. You will design and build secure AI infrastructure for production AI agents, develop agent control plane capabilities, and build embedded controls and tooling to