Senior AWS DevOps Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, construct, and manage AWS infrastructure to enhance scalability, resilience, and cost-effectiveness across various environments.

• Develop and oversee Infrastructure-as-Code using Terraform, ensuring deployments are modular, reusable, and consistent.

• Create and implement CI/CD pipelines (preferably using GitLab) across application, data, and infrastructure layers.

• Build and sustain Kubernetes (EKS) workloads, including deployment, scaling, and troubleshooting in production.

• Work with a diverse array of AWS services, encompassing compute (EC2, ECS, EKS, Lambda), networking (VPCs, subnets, security groups), and event-driven systems (API Gateway, EventBridge, SQS/SNS, Step Functions).

• Manage and optimize data services such as RDS (PostgreSQL) and ClickHouse.

• Automate infrastructure and environment setup with tools like Packer and Ansible for AMI creation and configuration.

• Implement and enhance observability using CloudWatch, Grafana, Prometheus, and centralized logging tools (e.g., Splunk, Datadog, ELK).

• Collaborate with developers and data engineers to refine deployment workflows, boost system reliability, and enhance platform usability.

• Apply security best practices across infrastructure, including IAM, KMS, and Secrets Manager.

• Assist in incident response, troubleshooting, and the continuous improvement of production systems.

⛳️ Requirements

• A minimum of 5 years of experience in DevOps, Cloud Engineering, or SRE roles.

• Extensive hands-on experience with AWS in areas of compute, networking, and serverless services.

• Demonstrated experience in building and maintaining CI/CD pipelines (GitLab preferred).

• Strong expertise in Terraform and Infrastructure-as-Code methodologies.

• Practical experience with Kubernetes in production settings (preferably EKS).

• Thorough understanding of containerization and orchestration principles.

• Experience in implementing monitoring, logging, and alerting systems in production environments.

• Familiarity with centralized observability platforms (e.g., Splunk, Datadog, ELK, or similar).

• Strong grasp of system reliability, scalability, and production operations.

• Experience in both Linux and Windows environments.

• Hands-on experience in creating AMIs using Packer and configuration tools like Ansible.

• Proficient in scripting languages (e.g., Bash, Python, or PowerShell).

• Ability to design systems and implement them directly in production environments.

• A strong ownership mindset, capable of functioning within a small, agile team.

🏝️ Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)

• No Weekend Work: Achieve a real work-life balance, not just a promise.

• Day 1 Benefits: Laptop and comprehensive medical insurance are provided.

• Support That Matters: Access to mentorship, community, and forums for sharing ideas.

• True Belonging: A long-term career where your contributions are genuinely appreciated.