DevOps Engineer

Location: Bangalore / Pune - Hybrid

Experience: 8+ Years

About Us

We are a technology-driven organization with a strong DevOps and Cloud Engineering practice. Our teams work closely with customers and internal development teams to deliver secure, scalable, and automated cloud-native solutions using modern DevSecOps practices.

Role Summary

We are seeking an experienced Senior DevOps Engineer (7+ years) to join our technology-driven organization. The ideal candidate is a strong individual contributor and technical leader who can design, build, and operate secure, scalable cloud-native solutions.

In this role, you will be operating in a complex enterprise AWS environment. You will be responsible for managing complex CI/CD pipelines, cloud infrastructure, and modern DevSecOps practices across both client and internal projects. We are looking for an engineer with strong fundamentals who goes beyond basic ticket execution—someone who can independently interpret existing systems, build mental models of complex infrastructures (including EKS, data pipelines, and Windows hosts), and troubleshoot intelligently without relying heavily on AI tools or constant guidance.

Key Responsibilities

Cloud & Infrastructure Management

• Design, provision, and manage cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) with a heavy focus on AWS CloudFormation (and Terraform).
• Configure and manage AWS IAM policies, roles, and permissions to ensure secure and cost-effective architectures.
• Manage and support a diverse infrastructure landscape, including data pipelines and Windows hosts.
  
  

• Orchestrate and scale workloads on Kubernetes, specifically Amazon EKS.
• Build, deploy, and manage containerized applications using Docker, focusing on image creation and optimization.
• Package and maintain applications using Helm Charts.
  
  

• Manage workflows using GitHub (mandatory) and GitLab, emphasizing advanced branching strategies and code reviews.
• Design and implement robust CI/CD pipelines using GitHub Actions, Jenkins, or Concourse.
• Develop automation scripts using Python, Bash, or PowerShell to improve deployment consistency.
  
  

• Perform Linux administration tasks.
• Troubleshoot build, deployment, and runtime issues in production environments.
• Monitor infrastructure and application health using Grafana and Prometheus.
• Apply deep foundational knowledge of networking, storage, IAM, certificates, logs, and containers to resolve operational failures.
  
  

• Self-Learning Autonomy: Must be comfortable reading official AWS documentation, interpreting unfamiliar infrastructure setups, and learning deeply without requiring handholding.
• System Comprehension & Mental Models: Ability to inspect existing code/configuration, reason about component interactions, and build accurate mental models to debug issues rather than blindly following commands.
• Documentation-First Mindset: Knows when to rely on official documentation/reference materials for production work versus using tutorials. Maintains a low dependency on AI tools (like Copilot) for core troubleshooting, relying instead on reading docs, searching logs, and understanding command outputs.
• Intelligent Problem-Solving: Asks thoughtful, context-aware questions. A strong attention to detail is required to notice small discrepancies, reason out why something failed during setup or configuration, and diligently follow complex instructions.
  
  

• Education: Bachelor's degree in Computer Information Science, Engineering, or equivalent practical experience.
• Experience: 8+ years of overall IT/DevOps experience, including at least 6+ years specifically on AWS.
• Cloud Platforms: Strong hands-on expertise in AWS services.
• CI/CD & Git: Expert knowledge of GitHub Actions and Git-based workflows.
• Data Systems: Experience working with databases such as PostgreSQL and Elastic.
  
  

• Relevant AWS certifications.
• Background in application development (Java, Spring Boot) and build tools like Apache Maven.
• Experience with automated testing practices and supporting multiple team/client engagements.
  
  

• Reliable, secure, and automated AWS infrastructure
• Scalable CI/CD pipelines adopted across teams
• Reduced manual effort through automation
• Strong collaboration between DevOps, security, and development teams