Cloud Automation Engineer

Role overview A mid-to-senior DevOps/Cloud Automation Engineer role sitting at the intersection of infrastructure automation and applied AI tooling. The position focuses on building secure, compliant, and efficient cloud infrastructure while driving adoption of AI-assisted engineering workflows such as agentic coding tools and AI-powered operational dashboards.

Responsibilities - Design, build, and maintain infrastructure-as-code (Terraform) across multi-account cloud environments with attention to cost efficiency, security, and compliance. - Build and maintain CI/CD pipelines that support frequent, safe deployments. - Develop automation workflows using low-code platforms, custom scripts, and APIs to reduce manual operational and compliance work. - Integrate AI coding assistants and agentic tools into engineering workflows and help establish governance and cost practices for AI tooling adoption. - Monitor infrastructure health and security posture with observability tooling, building dashboards, alerting, dependency monitoring, and automated remediation. - Continuously identify and eliminate repetitive work through scripting, IaC, or AI-assisted tooling.

Requirements - 4-7+ years in DevOps/Cloud Automation, SRE, or cloud infrastructure engineering roles. - Strong hands-on experience with a major cloud provider (AWS or Azure). - Proficiency with infrastructure-as-code, with Terraform strongly preferred. - Solid scripting and automation skills in Python, Bash, or similar languages. - Experience with CI/CD tooling such as GitLab CI, GitHub Actions, Jenkins, or equivalent. - Comfort working in regulated, compliance-heavy environments (FedRAMP, IL5, SOC 2, or similar). - Genuine curiosity about AI and automation tooling with a track record of adopting new tools to improve workflows.

Nice to have - Experience with low-code automation platforms such as n8n or Zapier. - Familiarity with AI coding agents such as Claude Code, GitHub Copilot, or Codex in a professional engineering setting. - Experience supporting federal clients or federal compliance frameworks like FedRAMP or IL5. - Datadog or equivalent observability platform experience. - Container hardening or security scanning experience.

Benefits and work setup - Atlanta-based or remote work arrangement. - This role may require the ability to pass an SF-85 background check and obtain public trust clearance, given work with the United States government; candidates must qualify as a U.S. Person under Export Administration Regulations.