Senior AWS DevOps Engineer

Job Description

Assume responsibility for designing, constructing, and overseeing AWS infrastructure, with a focus on enhancing scalability, resilience, and cost-effectiveness throughout various environments. Employ Terraform to create and manage Infrastructure-as-Code, guaranteeing adaptable, reusable, and uniform implementations. Formulate and put into action CI/CD pipelines, utilizing GitLab, across the application, data, and infrastructure layers. Construct and sustain Kubernetes (EKS) workloads, managing deployments, scaling operations, and resolving production-related issues. Effectively utilize a broad array of AWS services, encompassing computing resources (EC2, ECS, EKS, Lambda), networking capabilities (VPCs, subnets, security groups), and event-driven systems (API Gateway, EventBridge, SQS/SNS, Step Functions). Take charge of and fine-tune data services, including RDS (PostgreSQL) and ClickHouse. Employ tools such as Packer and Ansible to automate infrastructure and environment configuration for AMI creation and setup. Incorporate and refine observability practices through the utilization of CloudWatch, Grafana, Prometheus, and centralized logging tools (e.g., Splunk, Datadog, ELK). Work in close cooperation with developers and data engineers to enhance deployment workflows, system dependability, and platform functionality. Enforce strict security protocols across the infrastructure, including IAM, KMS, and Secrets Manager. Provide assistance in incident response, troubleshooting procedures, and continuous enhancement of production systems.

Qualifications

1. 5+ years of experience in DevOps, Cloud Engineering, or SRE roles 2. Strong hands-on experience with AWS across compute, networking, and serverless services 3. Proven experience building and maintaining CI/CD pipelines (GitLab preferred) 4. Strong proficiency with Terraform and Infrastructure-as-Code practices 5. Hands-on experience with Kubernetes in production environments (EKS preferred) 6. Solid understanding of containerisation and orchestration concepts 7. Experience implementing monitoring, logging, and alerting in production systems 8. Experience working with centralized observability platforms (e.g. Splunk, Datadog, ELK, or similar) 9. Strong understanding of system reliability, scalability, and production operations 10. Experience working across both Linux and Windows environments 11. Hands-on experience building AMIs using Packer and configuration tools such as Ansible 12. Scripting skills (e.g., Bash, Python, or PowerShell) 13. Ability to design systems and implement them hands-on in production environments 14. Strong ownership mindset with the ability to operate in a small, fast-moving team

Benefits

- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) - No Weekend Work: Real work-life balance, not just words - Day 1 Benefits: Laptop and full medical insurance provided - Support That Matters: Mentorship, community, and forums where ideas are shared - True Belonging: A long-term career where your contributions are valued