DevOps / Site Reliability Engineer

Infrastructure as Code 

• Own and extend Terraform modules across AWS — ECS/Fargate or EKS, RDS, VPC networking, IAM, ALB/NLB, S3, Route 53, CloudWatch. 
• Manage Terraform state safely; write and review plans that reviewers can trust. 
• Eliminate manually created resources by bringing them under code (via terraform import, refactors, and module extraction). 
• Keep environments (dev, QA, production) consistent and reproducible.

CI/CD Engineering 

• Build and maintain GitHub Actions pipelines for build, test, containerization, and deployment.
• Migrate legacy pipelines (Jenkins, CircleCI, GitLab CI) onto a single, maintainable platform.
• Design safe deployment paths — staged rollouts, health-gated releases, fast and reliable rollback. Keep pipelines fast: caching, parallelism, test splitting, and honest gating. 

Reliability & Operations 

• Own the production change window on your shift: deploys, migrations, cutovers, and maintenance.
• Run and improve observability — dashboards, SLOs, alerting that fires on real user impact rather than noise. 
• Debug containerized applications in production: logs, metrics, traces, resource limits, networking.
• Participate in on-call rotation and incident response; drive blameless post-incident reviews. Improve cost efficiency and resource utilization across the AWS footprint. 

Databases & Data Services 

• Operate PostgreSQL in production — read query plans, identify slow queries, understand connections, locks, and replication. 
• Plan and execute schema migrations against live systems with minimal disruption.
• Operate supporting data services: Redis/ElastiCache, message brokers, object storage. 

Automation & Tooling 

• Write Python and shell automation to remove repetitive operational work. 
• Build tooling that makes the wider team faster — self-service scripts, runbooks, guardrails.
• Harden secrets handling, access control, and infrastructure security posture. 

Handover & Communication 

• Write clear, complete handover notes at the end of every shift. Where shifts do not overlap, your writing is how the rest of the team learns what happened. 
• Maintain runbooks and infrastructure documentation as systems change. 
• Coordinate with the wider engineering team on planned work and follow-ups. 

AI-Enabled Engineering 

• Use modern AI tools to accelerate infrastructure work, scripting, and troubleshooting.
  • Apply AI-assisted practices while maintaining strong engineering, security, and review standards.