AWS DevOps SME

DNA AI TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

DNA AI Technologies PTE. LTD. is seeking a seasoned DevOps/SRE leader to shape strategy and engineering practices across AWS-hosted products.

You will drive automation, release governance, and secure, scalable deployments with GitOps pipelines and modern tooling. You will oversee containerized workloads (EKS/ECS), implement IaC with Terraform/CloudFormation, and advance observability and cost-management across multiple product teams.

Qualifications

• 12-15 years in IT with hands-on DevOps/SRE experience.
• Expert-level CI/CD toolchains and enterprise pipeline design.
• Deep expertise in Terraform and/or CloudFormation.
• Strong Kubernetes experience (EKS), Docker, Helm, and GitOps.
• Proficiency in Python, Bash, or Go; Linux networking fundamentals.

Responsibilities

• Define and drive DevOps strategy, standards, and tooling across AWS-hosted apps.
• Establish automation, release management, and continuous delivery across product teams.
• Promote DevSecOps, GitOps, and platform-as-code practices.
• Own enterprise CI/CD pipelines and governance using major tools.
• Standardize blue-green, canary, and rolling deployments and integrate security checks.
• Drive observability with CloudWatch, X-Ray, Prometheus, Grafana, and OpenSearch.
• Lead incident response, post-mortems, and cost-aware pipeline optimizations.

Skills

DevOps strategy

SRE practices

AWS cloud engineering

CI/CD automation

Security in DevOps

Tools

Terraform

CloudFormation

AWS CDK

Kubernetes (EKS)

Docker

Helm

ArgoCD

Flux

Jenkins

GitLab CI

GitHub Actions

CodePipeline

CodeBuild

CodeDeploy

Nexus

Artifactory

ECR

SonarQube

Snyk

Trivy

Checkov

CloudWatch

X-Ray

Prometheus

Grafana

ELK/OpenSearch

Datadog

Dynatrace

Job 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).