JOB Support- AWS DevOps Support , Data Engineer and Data base - 2 hours daily on Night shift IST
Budget: ₹12,500 – ₹37,500 INR
I need hands-on, day-to-day help from a seasoned DevOps Engineer to keep our AWS environment running smoothly while we roll out new features. The immediate focus is on three pillars: building a reliable CI/CD pipeline, codifying our infrastructure, and tightening monitoring and logging so issues surface before our users ever notice.
We host everything in AWS, so you should feel at home with services such as CodePipeline, CodeBuild, CloudFormation or Terraform, ECS/EKS, CloudWatch, and any complementary tools you prefer (Jenkins, GitLab CI, Prometheus, Grafana, ELK, etc.). While DevOps work is priority one, experience touching data-engineering workflows or handling database administration will be an advantage as those needs crop up after the core automation is stable.
Deliverables I’m targeting:
• A fully automated CI/CD pipeline that covers build, test, and deployment to dev, staging, and prod.
• Reproducible infrastructure-as-code templates with environment parity.
• A monitoring and alerting setup that feeds key metrics and logs into dashboards plus on-call notifications.
• Clear runbooks or short hand-off sessions so my internal team can operate what you build without surprises.
Everything must integrate cleanly with our existing AWS accounts and Git-based repos. If you thrive on automating repetitive tasks, scripting away manual steps, and putting guardrails around production, let’s talk about next steps and timelines.
Fixed
We host everything in AWS, so you should feel at home with services such as CodePipeline, CodeBuild, CloudFormation or Terraform, ECS/EKS, CloudWatch, and any complementary tools you prefer (Jenkins, GitLab CI, Prometheus, Grafana, ELK, etc.). While DevOps work is priority one, experience touching data-engineering workflows or handling database administration will be an advantage as those needs crop up after the core automation is stable.
Deliverables I’m targeting:
• A fully automated CI/CD pipeline that covers build, test, and deployment to dev, staging, and prod.
• Reproducible infrastructure-as-code templates with environment parity.
• A monitoring and alerting setup that feeds key metrics and logs into dashboards plus on-call notifications.
• Clear runbooks or short hand-off sessions so my internal team can operate what you build without surprises.
Everything must integrate cleanly with our existing AWS accounts and Git-based repos. If you thrive on automating repetitive tasks, scripting away manual steps, and putting guardrails around production, let’s talk about next steps and timelines.
Fixed