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AuxoAI - DevOps Engineer - Kubernetes

AuxoAIGurugram

15 hours ago

Job description

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)

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