Position Summary

MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A; team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights.

The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

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

Job 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)

Knowledge, Skills And Abilities

Education

Bachelor’s degree in computer science, information technology or equivalent educational qualification

Technical Skills And Experience

- 5-8 years of relevant experience

- 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

Valuable To Have (Preferred)

- DevOps certification

- Infrastructure access management ( RBAC, Keyvault, CyberArk)

- Exposure to Gen AI technology and tools

📌 DevOps Engineer II (Hyderabad)
🏢 MetLife
📍 Hyderabad