DevOps Engineer

1 week ago

Hyderabad, Telangana, India AuxoAI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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