SENIOR DEVOPS ENGINEER - Azure DevOps

Happiest Minds Technologies

Bengaluru

Hybrid

INR 1,500,000 - 2,300,000

Full time

9 hours ago

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Job summary

Happiest Minds Technologies in Bengaluru (Hybrid) seeks a skilled DevOps & MLOps Engineer with 5-8 years experience to design and manage CI/CD pipelines, Azure cloud infra, and ML ops workflows. You will automate deployments and guardrail security across environments.

Ideal candidates have strong hands-on with Azure DevOps, Terraform, Kubernetes (AKS), GitHub Actions, and ML model deployment, monitoring, and cost optimization. Collaboration with Data Scientists and Eng teams is essential.

Qualifications

5-8 years of total IT experience.
3+ years Azure DevOps experience.
2+ years MLOps implementation experience.
Experience deploying ML models into production environments.
Strong hands-on CI/CD and Infrastructure as Code experience.
Experience supporting enterprise-scale cloud platforms.

Responsibilities

Design and implement CI/CD pipelines for application and ML model deployments.
Automate infrastructure provisioning using Infrastructure as Code (IaC).
Deploy, manage, and optimize machine learning models in production environments.
Build and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
Manage Azure cloud infrastructure, networking, and security.
Configure and support Kubernetes clusters and containerized applications.
Implement monitoring, observability, alerting, and logging solutions.
Collaborate with Data Scientists, Data Engineers, and Application Teams.
Automate releases and environment provisioning using Azure DevOps.
Establish version control, model registry, and artifact management processes.
Implement security best practices, RBAC, secrets management, and compliance controls.
Optimize cloud infrastructure costs and resource utilization.
Troubleshoot production issues and perform root cause analysis.
Support disaster recovery, backup, and high-availability solutions.
Drive DevOps and MLOps best practices across project teams.

Skills

Azure DevOps

CI/CD Pipeline Development

Git / GitHub / GitHub Actions

Terraform

ARM/Bicep Templates

Kubernetes (AKS)

Docker

Linux Administration

Shell Scripting / Python

Job description

Job Description ? DevOps / MLOps Engineer

Location: Bengaluru (Hybrid)

Experience: 5-8 Years

Employment Type: Full-Time

Role Summary

We are seeking a skilled DevOps & MLOps Engineer with 5-8 years of experience to build, automate, and manage CI/CD pipelines, cloud infrastructure, and machine learning operational workflows. The ideal candidate should possess strong expertise in Azure Cloud, DevOps practices, containerization, infrastructure automation, and ML model deployment and monitoring.

Key Responsibilities

Design and implement CI/CD pipelines for application and ML model deployments.
Automate infrastructure provisioning using Infrastructure as Code (IaC).
Deploy, manage, and optimize machine learning models in production environments.
Build and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
Manage Azure cloud infrastructure, networking, and security.
Configure and support Kubernetes clusters and containerized applications.
Implement monitoring, observability, alerting, and logging solutions.
Collaborate with Data Scientists, Data Engineers, and Application Teams.
Automate releases and environment provisioning using Azure DevOps.
Establish version control, model registry, and artifact management processes.
Implement security best practices, RBAC, secrets management, and compliance controls.
Optimize cloud infrastructure costs and resource utilization.
Troubleshoot production issues and perform root cause analysis.
Support disaster recovery, backup, and high-availability solutions.
Drive DevOps and MLOps best practices across project teams.