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DNA AI TECHNOLOGIES PTE. LTD.

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AWS DevOps SME

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Description

Key Responsibilities

DevOps Strategy and Engineering Practices

Define and drive DevOps strategy, standards, and tooling across cloud-hosted applications on AWS. Establish engineering practices for automation, release management, and continuous delivery across multiple product teams. Drive adoption of DevSecOps, GitOps, and platform-as-code practices. CI/CD and Release Management

Own the design and governance of enterprise CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline/CodeBuild/CodeDeploy. Standardize deployment strategies such as blue-green, canary, and rolling deployments. Integrate automated testing, artifact management (Nexus, Artifactory, ECR), and quality gates into pipelines. Embed security scanning using SonarQube, Snyk, Trivy, Checkov, or similar tools. Infrastructure as Code and Automation

Set IaC standards and reusable module libraries using Terraform, CloudFormation, or AWS CDK. Drive automation of environment provisioning, configuration (Ansible), and operational tasks using Python or Bash. Implement policy-as-code using AWS Config rules. Containers and Orchestration

Oversee containerized workloads on Amazon EKS and ECS, including cluster design, upgrades, scaling, and service mesh. Govern Helm chart standards and GitOps delivery with ArgoCD or Flux. Reliability and Observability

Define SLIs, SLOs, and error budgets; drive SRE practices across application teams. Establish observability standards using CloudWatch, X-Ray, Prometheus, Grafana, ELK/OpenSearch, Datadog, or Dynatrace. Lead major incident response, root cause analysis, and post-mortems for application and pipeline failures. Cloud Cost and Security in DevOps

Embed cost awareness into pipelines and environments (ephemeral environments, auto-scaling, Spot usage). Ensure secrets management with AWS Secrets Manager, Parameter Store, or HashiCorp Vault. Technical Skills Required

12-15 years in IT, with at least 8 years in DevOps or SRE and strong hands-on AWS experience. Expert-level experience with CI/CD tools and enterprise pipeline design. Deep expertise in Terraform and/or CloudFormation. Strong experience with Kubernetes (EKS), Docker, Helm, and GitOps. Proficiency in Python, Bash, or Go. Strong knowledge of observability, SRE practices, and DevSecOps tooling. Solid Linux and networking fundamentals. Good to Have

AWS Certified DevOps Engineer - Professional or Solutions Architect - Professional. CKA, CKAD, or HashiCorp Terraform Associate certification. Experience with serverless architectures (Lambda, API Gateway, Step Functions). Experience in regulated industries such as banking or financial services (MAS TRM awareness).

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