DevOps Engineer
13 hours ago
We are seeking a highly skilled DevOps Engineer with 58 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
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