AuxoAI - DevOps Engineer - Kubernetes

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

(ref:hirist.tech)