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MetLife is seeking a Director to lead Product Development Engineering in Hyderabad, driving the technology strategy and end-to-end delivery for digital transformation. You will guide multi-country teams and partner with business stakeholders to deliver AI-enabled solutions and secure, scalable platforms.
The role requires extensive experience in cloud-native architectures, Agile delivery, and collaboration with security/compliance functions to ensure regulatory and performance standards.
Job Description:
Director-Product Development Engineering
Hyderabad, India
MetLife is offering an exciting opportunity to contribute to our digital and AI transformation journey. We are seeking an experienced technology leader to drive the transformation that will enable business results.
The Product Development Engineering Lead has end to end responsibility, partnering with the business, on the technology strategy and roadmap including the implementation of modern technology, adoption of AI, GenAI, and automation capabilities to transform client and customer experiences.
14+ years in leading software engineering teams to drive digital transformation in financial services or technology domain.
Developing and implementing applications using modern technology stack and patterns including cloud native patterns, public cloud (e.g. Microsoft Azure), API and web/mobile apps (Java/React).
Prior experience in developing mission critical applications, highly resilient, secure and performant from scratch in a complex and regulated environments will be an added advantage.
Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working.
Strong experience in driving digital transformation especially people and cultural transformation
Proven track record in partnering with the business to deliver mission critical transformation via Agile approach.
Experience integrating AI‑powered development tools such as GitHub Copilot into software delivery workflows. Designing or implementing GenAI‑supported applications using cloud services (Azure preferred).
Knowledge of AI governance, responsible/ethical AI practices, and regulatory considerations in financial services. Understanding of MLOps processes, model deployment, versioning, and monitoring.
Agile (Scaled Agile Framework)
Containers (Azure Kubernetes)
CI/CD (Azure DevOps, Git, SonarQube)
Scheduling Tools (Azure Scheduler)
Microservices (Java, Springboot)
UI & Web (ReactJS, HTML, Javascript)
Mobile (Swift, Objective-C, React Native, Ionic Framework)
Database (SQL Server, Cosmos DB)
APIs (Kong, APIC, APIM)
IDE (GitHub Copilot, VSCODE, IntelliJ)
Cloud Platform (Microsoft Azure)
Secure Coding (Veracode)
Authentication/Authorization (CA SiteMinder, MS Entra, PingOne)
Log & Monitoring (Azure AppInsights, Elastic)