MetLife logo, now hiring for IT positions

MetLife

Mahārāshtra
Total Offices: 2
43,000 Total Employees
Year Founded: 1868

MetLife Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together

Typical time on-site: Flexible

Global Office Locations

Hyderabad

Hyderabad, IN

11th, 12th & 13th Floor, Prestige Sky Tech, Poppalagunda Village, Gandipet Mandal, Hyderabad, Telangana, India, 500032

Mahārāshtra

Pune, IN

EON West LP-II, 2nd & 3rd Floor, Tower D, S.no. 106(P), 107(P), 108(P)/1, Maharashtra, India, 411057

Recently posted jobs

7 Hours AgoSaved
Hybrid
Pune, Maharashtra, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design and implement omnichannel marketing journeys and personalized campaigns using Adobe AJO, ACC, and AEP. Build integrations, APIs, and microservices; manage XDM schemas, identity stitching, and real-time CDP capabilities. Collaborate with marketing and data teams, perform QA/UAT, monitor campaign performance, and ensure data governance and privacy compliance.
7 Hours AgoSaved
Hybrid
Pune, Maharashtra, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, build, test, deploy, and support Workday integrations for Financials and Supply Chain modules. Translate business requirements into integration solutions using Workday Studio, EIB, Core Connectors, and Web Services. Collaborate with functional consultants, manage data migrations and third-party integrations, perform monitoring and troubleshooting in production, and contribute to release management, regression testing, and technical documentation.
7 Hours AgoSaved
Hybrid
Pune, Maharashtra, IND
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Early-career software engineer working on Python-based components for enterprise AI use cases. Support AI/ML workflows, RAG pipelines, embeddings, vector retrieval, and API integration. Collaborate with senior engineers on testing, debugging, documentation, deployment, and apply cloud and software engineering best practices under mentorship.