DevOps Engineer

3 hours ago

Bengaluru, Karnataka, India AuxoAI Full time ₹ 12,00,000 - ₹ 36,00,000 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 :

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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