Lead DevOps Engineer

Overview

We are seeking a highly skilled Lead DevOps Engineer to join our team and drive the end-to end deployment, scalability, and operationalization of machine learning models in production.

You will collaborate closely with data scientists, data engineers, and DevOps teams to ensure seamless CI/CD, reproducibility, monitoring, and governance of ML pipelines

Key Responsibilities

· Design, implement, and maintain CI/CD pipelines for deploying and monitoring microservices efficiently.

· Manage infrastructure as code using Terraform for repeatable and scalable provisioning.

· Deploy and optimize containerized applications using Docker and Azure services (Container Apps, Container Registry, Key Vault, Service Bus, Blob Storage).

· Apply best practices for securing Docker images, including vulnerability scanning, reducing image size, and optimizing build e iciency.

· Implement and maintain Azure Monitor for logging, monitoring, and alerting to ensure system reliability.

· Ensure security best practices across cloud environments, including secrets management, access control, and compliance.

· (Nice to have) Design and manage multi-client architectures within shared pipelines and storage accounts in Azure Blob Storage

Qualifications

· 6+ years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions.

· Strong expertise in Azure, particularly with CI/CD, container orchestration, and cloud security.

· Proficiency in Terraform for infrastructure automation.

· Deep understanding of Docker, including best practices for securing, optimizing, and managing images.

· Experience with Azure Monitor for centralized logging, monitoring, and alerting.

· Strongknowledge of microservices architecture and best practices for scalable deployments.

· Experience in security best practices, including secrets management and role-based access.

Preferred Qualifications

· Experience with Databricks, particularly for ML workflows and data engineering.

· Experience deploying, securing and managing vector databases

· Hands-on experience with MLFlow for model tracking and deployment.

· Best practices for multi-client architecture in shared pipelines and storage.

· Python experience for microservices development, if interested in contributing to application

· Docker Compose for local development and multi-container applications

Job Type: Full-time

Schedule:

• Day shift

Experience:

• Devops Engineer: 6 years (Required)

Work Location: In person

Speak with the employer
+91 9959381537