Senior DevOps Engineer

Overview

We are seeking a highly skilled DevOps Engineer with 5–8 years of hands-on experience
to join our growing team in Bengaluru. The ideal candidate will have deep expertise in
managing Kubernetes clusters on Azure and AWS, a solid understanding of CI/CD
pipelines using Azure DevOps, and familiarity with container registries across cloud
providers. Exposure to GCP is a strong advantage as we scale across platforms. A
working knowledge of the AI/ML domain will significantly enhance your ability to
support our platform and engineering teams.

Key Responsibilities
• Design and implement Damia deployments via marketplaces (Azure/AWS).
• Design, deploy, and manage scalable, highly available Kubernetes clusters on Azure AKS and AWS EKS.
• Build a fully automated release pipeline for deployment for multiple cloud environments. They will also support delivery teams to train them in managing the deployment in the clients’ environment.
• Set up and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Manage cloud-based container registries (ACR, ECR, GCR) and ensure secure image management practices.
• Develop Infrastructure as Code (IaC) using Terraform, Bicep, or Helm to maintain consistent environments.
• Collaborate closely with ML Engineers and AI researchers to ensure infrastructure supports AI/ML pipelines.
• Monitor system performance and implement robust observability (Prometheus, Grafana, ELK, etc.).
• Work cross-functionally to manage cloud costs, security, and compliance for multi-cloud environments.
• Prepare for upcoming GCP migration initiatives and support cloud-native
development efforts.

Requirements
• 5–8 years of DevOps experience in production-grade environments.
• Strong understanding of Enterprise Linux based deployments (Ex., RHEL, Ubuntu).
• Strong expertise with Kubernetes on Azure (AKS) and AWS (EKS).
• Experience with Azure DevOps Pipelines, Repos, and Artifact management.
• Proficiency in cloud-native tools and container orchestration best practices.
• Familiarity with monitoring, logging, and alerting tools.
• Ability to write automation scripts for customer specific deployments.
• Knowledge in Python or Bash scripting is a must.
• Strong understanding of security best practices and implementations in the production deployments.
• Understanding of software package, container image scanning tools for vulnerabilities and generating regular reports for the same.
• Focus and interest to explore the latest developments in DevSecOps space and adapting to the current needs of the organization