Job Description

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 Key Responsibilities: 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. Required Qualifications: 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. Key Skills: AWS, Kubernetes, EKS, CI/CD, Datadog, EC2, S3, AWS Lambda, AWS Glue, Terraform, Docker, Ansible, Python, Shell Scripting