DevOps Engineer

We are looking for a results-oriented DevOps Engineer with 1 – 3 years of experience to own the build, release and cloud operations pipeline for a modern JavaScript / Python stack.Key responsibilities

• Design, automate and maintain CI/CD workflows in GitHub Actions (test, build, deploy)
• Provision and manage AWS infrastructure (EC2, ECS/EKS, S3, Route 53) with high availability and cost awareness
• Containerise services with Docker and orchestrate them in Kubernetes (Helm charts, rolling updates, zero-downtime deployments)
• Implement Infrastructure-as-Code using Terraform or CloudFormation, including secret management and least-privilege IAM policies
• Set up monitoring and logging with Prometheus + Grafana and the ELK/EFK stack; create actionable alerts for uptime, latency and error budgets
• Secure all environments end-to-end: SSL/TLS, vulnerability scans, PCI-DSS checklists, OS patching and container image hardening
• Package and distribute desktop application builds through automated release pipelines (electron-builder artifacts, code signing, auto-updates)
• Drive incident response, root-cause analysis and continuous improvement of SLOs
• Collaborate closely with developers, QA and product to ship features quickly in a fully remote, agile setup

Must-have

• 1–3 years hands-on DevOps / SRE experience in a production environment
• Proficiency with AWS core services (EC2, ECS/EKS, VPC, IAM, CloudWatch)
• Strong Docker skills and working knowledge of Kubernetes fundamentals (deployments, services, config maps, ingress)
• Practical experience creating CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI
• Infrastructure-as-Code expertise with Terraform or CloudFormation
• Linux administration, networking (NGINX/Traefik), and scripting in Bash or Python
• Solid understanding of container security, IAM best practices and automated secrets management
• Version-control fluency (Git, pull-request workflows) and familiarity with agile ceremonies

Nice-to-have

• Helm, Argo CD or Flux for GitOps
• Experience with desktop app release automation (NSIS, AppImage, DMG)
• GCP or Azure exposure, multi-cloud fail-over patterns
• Cost-monitoring tools (AWS Cost Explorer, CloudZero)
• Observability-as-Code, Karpenter/KEDA autoscaling, Sentry error tracking