DevOps Engineer II

Job Details

• Location: Pune, Maharashtra
• Working Schedule: Full-Time
• Work Arrangement: Hybrid

Job Summary

GG10.2 Role Value Proposition MLOps Engineer plays a critical role in the Data Analytics life cycle. The role requires one to demonstrate expertise in CI/CD automation, cloud platforms, containerization, and operational monitoring. It is an individual contributor role, expected to independently function. Experience 5-8+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification.

Responsibilities

• Design, implement, and maintain deployment pipelines for batch and real-time models using on-prem and Azure cloud
• Embed security best practices in deployments to ensure compliance with enterprise, governance, and regulatory standards.
• Implement observability frameworks (logging, monitoring, alerting) to ensure reliability and performance.
• Optimize deployments for performance, scalability and reliablity
• Manage infrastructure for data pipelines and ML workloads across on-premise and cloud environments.
• Deploy and manage containerized workloads using Docker and Kubernetes.
• Drive adoption of best practices in DevOps and MLOps across the Data Analytics ecosystem.
• Document pipelines, environments, and operational standards for cross-team use.
• Design, implement, and maintain CI/CD pipelines for data, analytics, and ML solutions.
• Independently lead design, solutioning estimations
• Collaborate with multiple partners from Business, Technology, Operations and DA capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI insights)

Technical Skills

• Deployment tools (Azure DevOps, Tosca, YAML Scripting, code versioning tools)
• Big Data Frameworks : Apache Spark, Hadoop
• Azure cloud services ( Synapse, Databricks, Azure Apps, AKS)
• Containerization and orchestration (Docker, Kubernetes)
• Protocols/technologies like HTTP, SSL, LDAP, JDBC, SQL, XML
• Python, ML model serving and monitoring frameworks (MLflow, Azure ML)
• Shell Scripting : Powershell, bash, CMD, CLI
• Rest APIs, Postman
• Partner, Stakeholder engagement experience

Good To Have

• DevOps certification
• Infrastructure acess managment( RBAC, Keyvault, CyberArk)
• Exposure to Gen AI technology and tools

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.