Job Title: AWS DevOps Engineer
Experience: 10+ years
Work Mode: Initial remote for some time, and later a hybrid role for Pune (First preference Pune)
Budget: 30 LPA
Job Overview
We are looking for a highly skilled AWS DevOps Engineer to join our team and play a key role in designing, implementing, and maintaining a real-time data streaming platform hosted in AWS. The ideal candidate will have deep expertise in AWS services, Kubernetes, Terraform, CI/CD practices, and monitoring tools, enabling them to optimize and scale our cloud-based solutions effectively.

Key Responsibilities
• Development & Build: Build and maintain a robust, scalable real-time data streaming platform leveraging AWS.
• AWS Services: robust knowledge of AWS services, particularly those relevant to stream processing and serverless components like Lambda Functions.
• Performance Monitoring: Continuously monitor and troubleshoot streaming platform performance issues to ensure optimal functionality.
• Collaboration:



Work closely with cross-functional teams to onboard various data products into the streaming platform and support existing implementations.
• Version Control: Manage code using Git, ensuring best practices in version control are followed.
• Infrastructure as Code (IaC): Apply expertise in Terraform for efficient infrastructure management.
• CI/CD Practices: Implement robust CI/CD pipelines using GitHub Actions to automate deployment workflows.

Mandatory Skillsets
The candidate must have:
• Strong proficiency in AWS services, including IAM Roles, Access Control RBAC, S3, Containerized Lambda Functions, VPC, Security Groups, RDS, MemoryDB, NACL, CloudWatch, DNS, Network Load Balancer, Directory Services and Identity Federation, AWS Tagging Configuration, Certificate Management, etc.
• Hands-on experience in Kubernetes (EKS), with expertise in Imperative and Declarative approaches for managing resources/services like Pods, Deployments, Secrets, ConfigMaps, DaemonSets, Services, IRSA, Helm

📌 AWS DevOps Engineer (Pune)
🏢 Optimum Data Analytics
📍 Pune