AuxoAI - DevOps Engineer - Kubernetes
9 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-nativedevelopment 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 (ref:hirist.tech)
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