DevOps Engineer II

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 D&A 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
• Communication skills, analytical skills, structured problem-solving skills
• Partner, Stakeholder engagement experience
  
  

Good To have

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