DevOps Engineer II
MetLife · Pune Division
- Experience5–6 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelsenior
- Posted10 Sept 2026
About MetLife
MetLife is hiring in Pune Division in insurance. This role looks for around 5+ years of experience.
Skills
- CI/CD automation
- Azure cloud services
- Docker
- Kubernetes
- Apache Spark
- Hadoop
- Azure DevOps
- YAML
- Python
- MLflow
- Azure Machine Learning
- PowerShell
- Bash
- REST APIs
- SQL
- XML
- HTTP
- SSL
- LDAP
- JDBC
- Postman
- Azure Synapse
- Azure Databricks
- Azure Kubernetes Service
- Tosca
The role
A DevOps engineer at an insurance company builds and operates machine learning platforms through MLOps, Azure cloud services, and Kubernetes, with CI/CD automation and observability practices. The role also applies Docker and MLflow to support reliable, scalable model deployment.
Full job description
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 SkillsDeployment 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 certificationInfrastructure acess managment( RBAC, Keyvault, CyberArk) Exposure to Gen AI technology and tools