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Medium — common DevOps title with broad skill requirements increases qualified candidate density.
Medium — core DevOps skills transfer, but FinOps, compliance and GenAI experience add domain specificity.
High — explicit 6+ years plus mandatory AWS, Kubernetes, Terraform, CI/CD and security requirements.
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Design, build, and operate secure, scalable AWS cloud infrastructure and AI-powered DevOps automation solutions with focus on reliability, security, and cost efficiency.
Develop and maintain CI/CD pipelines, implementing advanced deployment strategies like blue-green, canary, and rolling deployments using GitLab or GitHub.
Integrate AI/ML technologies and AI agents into engineering platforms to enhance developer productivity and observability, while supporting governance and compliance needs.
6+ years experience as a DevOps Engineer or similar role.
Strong hands-on experience with AWS services (EC2, EKS, ECS, VPC, IAM, RDS, S3, CloudWatch).
Proficiency with Infrastructure as Code tools, preferably Terraform; experience with CI/CD tools like GitLab CI or GitHub Actions.
Experience scripting in Python or Bash and skills with Docker and Kubernetes (EKS).
Experience embedding AI/ML or Generative AI use cases into DevOps and cloud platform workflows, including prompt engineering and AI API integrations.
Strong background in cloud security practices (IAM, VPC security, encryption, secrets management) and governance in multi-account AWS environments.
Proven ability to mentor junior engineers and drive adoption of DevOps best practices including automation, monitoring, and FinOps optimization.