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Role Value Proposition:
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.
Key Responsibilities:
Candidate Qualifications:
Education:
Experience:
15+ 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 AIpowered development tools such as GitHub Copilot into software delivery workflows. Designing or implementing GenAIsupported 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.
Language:
Skills and Competencies:
Competencies
Tech Stack
Development & Delivery Methods:
Agile (Scaled Agile Framework)
DevOps and CI/CD:
Containers (Azure Kubernetes)
CI/CD (Azure DevOps, Git, SonarQube)
Scheduling Tools (Azure Scheduler)
Development Frameworks and Languages:
Microservices (Java, Springboot)
UI & Web (ReactJS, HTML, Javascript)
Mobile (Swift, Objective-C, React Native, Ionic Framework)
Data Management:
Database (SQL Server, Cosmos DB)
APIs (Kong, APIC, APIM)
Development Tools & Platforms:7
IDE (GitHub Copilot, VSCODE, IntelliJ)
Cloud Platform (Microsoft Azure)
Security and Monitoring:
Secure Coding (Veracode)
Authentication/Authorization (CA SiteMinder, MS Entra, PingOne)
Log & Monitoring (Azure AppInsights, Elastic)
Job ID: 141740611