Title: DevOps Platform Engineer
Location:
Bangalore, Karnataka, IN
Requisition ID: 133900
Job Summary
We're seeking an exceptional DevOps & AI Platform Engineer to join our team. This role uniquely combines traditional DevOps excellence with cutting-edge AI tooling expertise. You'll engineer, maintain, and continuously improve our development platforms that support both cloud and on-premises deployments while pioneering the integration of AI-powered development workflows and intelligent automation. This is a hands-on engineering role focused on building, automating, and optimizing—everything as code.
Job Requirements
• Build and maintain containerized applications using Kubernetes orchestration platforms
• Develop and optimize CI/CD pipelines for rapid, reliable software delivery, ensuring adherence to corporate security standards
• Engineer Infrastructure as Code solutions using modern tooling and best practices
• Champion AI-assisted development practices and integrate AI agents into development workflows
• Maintain and improve development platforms supporting both cloud and on-premises environments
• Support and collaborate with IT infrastructure teams to ensure seamless operations
• Automate everything—from deployments to monitoring to infrastructure provisioning
• Strong experience with Kubernetes/container orchestration (Rancher, OpenShift, EKS, or similar)
• Proven expertise in CI/CD pipeline development (Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or comparable)
• Solid application development background with modern programming languages
• Deep knowledge of Infrastructure as Code tools (Terraform, Ansible, Pulumi, CloudFormation, or equivalent)
• Strong understanding of cloud infrastructure, preferably AWS (Azure or GCP also considered)
• Experience with hybrid cloud and on-premises environments
• Everything as Code" mindset—configuration, infrastructure, pipelines, and policies
• Demonstrated experience with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar tools)
• Solid understanding of AI agent development, MCP (Model Context Protocol), and context management
Education
IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.
• Experience integrating AI gateways and LLM platforms (OpenAI, AWS Bedrock, Azure OpenAI, or comparable)
• Rancher (or comparable Kubernetes management platforms)
• Azure DevOps (or GitHub Actions, GitLab CI/CD)
• Artifactory (or Nexus, Harbor, ECR)
• VS Code (or JetBrains IDEs, Eclipse)
• GitHub Copilot (or Cursor, Cody, Tabnine)
• Previous experience supporting IT infrastructure teams
• Certifications in AWS, Kubernetes (CKA/CKAD), or relevant technologies
• Experience with observability tools (LogicMonitor is a plus)
• Background in platform engineering or developer experience (DevEx) initiatives
• Contributions to open-source projects or technical community involvement
Job Segment: Open Source, Cloud, Application Developer, Engineer, Technology, Engineering