Own and improve large-scale, multi-region AWS and Azure infrastructure supporting production workloads.
Design, implement, and refine Infrastructure as Code (Terraform, AWS CDK) to ensure consistent, repeatable environments.
Reduce operational overhead by building automation tooling in Python and Bash.
Strengthen access control models using IAM best practices, AWS Identity Center, and least-privilege principles.
Operate and improve Kubernetes (EKS) and Docker-based container environments.
Monitor performance, availability, and cloud spend — and drive measurable optimization initiatives.
Identify technical debt, scalability constraints, and reliability gaps, and propose practical improvements.
Modernize legacy workloads by containerizing and standardizing deployment patterns.
Partner with Security to ensure infrastructure aligns with SOC 2, ISO 27001, FedRAMP, and CMMC requirements.
Contribute to documentation and infrastructure standards that make the platform easier to operate and scale.

4+ years of hands-on experience in cloud infrastructure or DevOps roles, with strong AWS expertise.
Demonstrated experience building and maintaining production Infrastructure as Code with Terraform.
Solid understanding of IAM, SSO, and secure access design in multi-account environments.
Experience managing Kubernetes/EKS clusters and containerized workloads at scale.
Actively incorporate AI-assisted tools into daily engineering workflows to reduce manual effort, improve delivery speed, and enhance operational efficiency without compromising reliability or security.
Strong understanding of cloud networking fundamentals (VPCs, subnets, routing, VPNs, security groups).
Experience working in structured, compliance-oriented environments.
Proficiency in Python and/or Bash for automation.
Strong Linux troubleshooting skills across distributed systems.
Experience operating Elasticsearch or similar distributed systems.
Experience modernizing or refactoring legacy infrastructure into more scalable patterns.

Cloud Engineer

Key skills