DevOps Engineer

2 days ago

Bangalore North Karnataka India AuxoAI Engineering Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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

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