AI Automation Engineer [Remote]
About The Position
As an AI Automation Engineer for our AIOps team, you'll be a core member of a high-performing, cross-functional team responsible for modernizing critical enterprise systems through intelligent automation, AI-powered infrastructure, agentic AI workflows, and secure, scalable deployment pipelines. You won't just write scripts — you'll engineer complete automation solutions from the ground up, integrating AI agents, Model Context Protocol (MCP) servers, and intelligent tooling into every layer of the stack. This role involves architecting MCP server ecosystems that allow AI agents to securely query databases, trigger deployments, inspect infrastructure state, and interact with third-party APIs — all governed by robust authentication and authorization. You will also build custom agent skills and tool definitions that enable AI agents to perform complex, multi-step operations across your AIOps toolchain autonomously and reliably. Experience working in complex, regulated, or mission-critical environments where Kubernetes, Terraform, automated deployments, and AI-augmented operations are the standard is highly valued. The ideal candidate has a builder's mindset, transforming the status quo with the right tools, code, and AI agents, and identifies opportunities to apply AI for continuous improvement and innovation.
Requirements
- Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field.
- 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
- U.S. citizenship is required due to the nature of the work performed within our facilities.
- Proven experience building end-to-end automation solutions using tools like GitLab CI, Kubernetes, Terraform, and Ansible.
- Hands-on expertise deploying and managing containerized applications with Kubernetes and automating infrastructure provisioning with Terraform and Ansible in an AIOps environment.
- Experience building and owning CI/CD pipelines end-to-end, leveraging GitLab CI and AI-powered tools.
- Experience designing, deploying, and managing MCP (Model Context Protocol) servers.
- Familiarity with OAuth 2.0 / OpenID Connect authentication flows within MCP servers.
- Hands-on experience building or integrating AI agent skills.
- Experience working with or deploying AI/ML models, LLM-based assistants, and agentic frameworks (e.g., Claude Agent SDK, A2A, ACP, or similar) in production or operational environments.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and how to ground AI agents with real-time enterprise context via MCP or similar protocols.
Nice To Haves
- Agile experience preferred.
- Experience architecting MCP server ecosystems that allow AI agents to securely query databases, trigger deployments, inspect infrastructure state, and interact with third-party APIs.
- Experience working in complex, regulated, or mission-critical environments where Kubernetes, Terraform, automated deployments, and AI-augmented operations are the standard, not the exception.
Responsibilities
- Engineer complete automation solutions from the ground up, integrating AI agents, Model Context Protocol (MCP) servers, and intelligent tooling.
- Design, deploy, and manage MCP (Model Context Protocol) servers to expose tools, data sources, and APIs as context for AI agents and LLM-powered workflows.
- Build and own CI/CD pipelines end-to-end, leveraging GitLab CI and AI-powered tools to automate testing, deployment, and operational workflows.
- Build custom agent skills and tool definitions that enable AI agents to perform complex, multi-step operations across your AIOps toolchain autonomously and reliably.
- Apply AI for continuous improvement and innovation.
Benefits
- Opportunities for continuous learning and development.
- Research oriented work.
- Flexible schedules with every other Friday off work, if desired (9/80 schedule).
- Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
