Design, implement, and maintain end-to-end CI/CD pipelines for multiple applications and services
Manage pipeline tooling including Jenkins, GitHub Actions, GitLab CI, or CircleCI
Enforce branching strategies, build quality gates, and automated deployment approvals
Integrate SAST, DAST, and dependency scanning tools into pipeline workflows
Implement blue/green, canary, and rolling deployment strategies to minimize downtime
Architect, provision, and manage cloud infrastructure on AWS
Manage multi-environment setups (dev, staging, production) with proper isolation
Design scalable, fault-tolerant architectures leveraging auto-scaling, load balancing, and multi-AZ deployments
Manage container platforms using Kubernetes (EKS, AKS, GKE, or self-managed clusters)
Build and maintain Docker images, Helm charts, and container registries
Build alerting frameworks and on-call runbooks; lead post-incident reviews and blameless retrospectives
Drive MTTR reduction through automation, self-healing systems, and runbook automation
Implement DevSecOps practices — shift-left security, secrets management, and vulnerability remediation
Automate repetitive infrastructure and operational tasks using scripting languages

Minimum 6 years of hands-on experience as a DevOps, Platform, or Site Reliability Engineer
Deep expertise in at least one major cloud platform: AWS, Azure, or GCP, AWS preferred
Hands-on experience with Docker and container image lifecycle management
Proven CI/CD pipeline design experience with tools like Bitbucket, Jenkins, GitHub Actions, or GitLab CI
Scripting proficiency in Python and/or Bash for automation and tooling
Experience with monitoring/observability tools: Prometheus, Grafana, ELK stack, or Datadog
Experience with Git workflows, branching strategies, and code review practices
Advanced Kubernetes skills — cluster administration, networking, storage, and security

DevOps Engineer

Key skills