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Popular DevOps title, metro location, and broad skill requirements create medium competition.
Core cloud and IaC skills are transferable, but GenAI/MLOps specialization increases domain sensitivity.
Explicit 9+ years requirement plus many mandatory cloud, IaC, Kubernetes, and security skills make shortlisting strict.
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Design, implement, and maintain scalable cloud-native platforms on AWS with automation and Infrastructure as Code using Terraform.
Build and manage Kubernetes-based platforms on Amazon EKS, optimize CI/CD pipelines, and support AI/Generative AI workloads including Amazon Bedrock.
Drive cloud cost optimization, implement DevSecOps practices, oversee operational excellence, and troubleshoot complex infrastructure issues.
9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure.
Strong hands-on expertise with AWS cloud services and Infrastructure as Code using Terraform.
Experience with Kubernetes on Amazon EKS, CI/CD tools (GitHub Actions, GitLab CI, Azure DevOps), and scripting (Python, Bash, PowerShell).
English language proficiency at B2 Upper Intermediate level.
Demonstrates deep technical expertise in AWS platform engineering, infrastructure automation, and cloud-native architectures.
Experienced in supporting AI/ML and Generative AI workloads, specifically with Amazon Bedrock integration.
Practices strong DevSecOps and cloud cost governance within enterprise-scale, multi-team environments.