AWS DevOps Engineer

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 2000000 (ie INR 8-20 LPA)

Min Experience: 5 years

Location: Pune, Ahmedabad, Indore, Hyderabad

JobType: full-time

Job Title: AWS DevOps Engineer / Data Engineer

Experience: 5 to 12 Years

Locations: Ahmedabad / Pune / Indore / Hyderabad

Requirements

• Design, implement, and manage scalable cloud infrastructure using AWS , Terraform , and Docker .
• Administer and optimize Kubernetes clusters on Amazon EKS to ensure high availability and performance.
• Develop and maintain CI/CD pipelines using tools such as Jenkins , GitHub Actions , or Bitbucket Pipelines .
• Collaborate with engineering and product teams via GitHub , Jira , and Confluence to drive delivery and operational efficiency.
• Apply strong security best practices across infrastructure, applications, and deployment pipelines.
• Monitor systems performance and availability using DataDog , and continuously optimize for scalability and reliability.
• Create and maintain automation scripts using Shell and Python to streamline infrastructure and data workflows.
• Utilize Infrastructure as Code (IaC) with Terraform and manage configurations using Ansible .
• Work with a broad range of AWS services, including EC2 , S3 , RDS , Lambda , CloudWatch , Config , Control Tower , DynamoDB , and Glue .
• Design and manage secure network architectures (e.g., VPCs , NATs , Security Groups , Firewalls , Routing , and ACLs ).
• Implement disaster recovery plans, monitoring strategies, and auto-scaling to support production-grade workloads.

• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• 5+ years of experience in DevOps or Cloud Infrastructure roles, with a strong focus on automation and scalability.
• Strong hands-on experience with Linux , shell scripting , and Python for infrastructure and data operations.
• Deep expertise in AWS services , including Terraform based infrastructure provisioning.
• Proven track record managing and scaling Kubernetes (EKS) clusters.
• Solid understanding of CI/CD pipeline architecture and deployment automation.
• Familiarity with Python linting tools and coding best practices.
• Proficient in using Docker for containerization in production environments.
• Experience using DataDog for logging, metrics collection, and monitoring.
• Strong collaborative skills and experience using agile project tools such as GitHub , Jira , and Confluence .
• Knowledge of AWS Glue for ETL workflows is a plus.

AWS, Kubernetes, EKS, CI/CD, Datadog, EC2, S3, AWS Lambda, AWS Glue, Terraform, Docker, Ansible, Python, Shell Scripting