About the RoleWe're looking for a mid-to-senior DevOps engineer who thrives at the intersection of
infrastructure automation and
applied AI tooling. You'll help us build and scale the systems that keep our cloud infrastructure secure, compliant, and efficient - while also driving adoption of AI-assisted engineering workflows (agentic coding tools, automation pipelines, and AI-powered operational dashboards) across the team.
This isn't a "keep the lights on" DevOps role. You'll be expected to actively look for ways to automate toil out of infrastructure, security, and compliance work - and to bring modern AI tooling into that process where it adds real leverage.
LocationWhat You'll Do - Design, build, and maintain infrastructure-as-code (Terraform) across multi-account cloud environments, with an eye toward cost efficiency, security, and compliance (FedRAMP/GovCloud experience a strong plus)
- Build and maintain CI/CD pipelines supporting frequent, safe deployments
- Develop automation workflows (e.g., n8n, Zapier, custom scripts/APIs) that reduce manual operational and compliance work
- Integrate AI coding assistants and agentic tools (Claude Code, Copilot, or similar) into engineering workflows, and help establish governance/cost practices for AI tooling adoption org-wide
- Monitor infrastructure health and security posture using tools like Datadog, building dashboards and alerting that surfaces real signal, end-to-end visibility, actionable alerts, dependency monitoring, and automated remediation.
- Continuously identify opportunities to eliminate repetitive work through scripting, IaC, or AI-assisted tooling
What We're Looking For Required: - 4-7+ years in DevOps, SRE, or cloud infrastructure engineering roles
- Strong hands-on experience with a major cloud provider (AWS, Azure); AWS GovCloud experience is a plus
- Proficiency with infrastructure-as-code (Terraform strongly preferred)
- Solid scripting/automation skills (Python, Bash, or similar)
- Experience with CI/CD tooling (GitLab CI, GitHub Actions, Jenkins, or similar)
- Comfort working in regulated/compliance-heavy environments (FedRAMP, IL5, SOC 2, or similar)
- Genuine curiosity about AI/automation tooling and a track record of adopting new tools to improve workflows
Nice to Have: - Experience with low-code automation platforms (n8n, Zapier)
- Familiarity with AI coding agents (Claude Code, GitHub Copilot, Codex) in a professional engineering setting
- Experience supporting federal clients or federal compliance frameworks (FedRAMP, IL5)
- Datadog or equivalent observability platform experience
- Container hardening / security scanning experience (e.g., RapidFort)
