Jobs at MetLife

Develop and support integration solutions using IBM App Connect Enterprise and Azure. Responsibilities include participating in the SDLC, designing APIs and middleware services, analyzing requirements, conducting design and code reviews, supporting QA and UAT, troubleshooting production issues, documenting solutions, and contributing to CI/CD operations. The role also requires stakeholder collaboration, adherence to IT controls, and delivery across multiple projects.

Leads architecture, design, development, and maintenance of secure, scalable software and platform solutions for embedded insurance. Designs microservices and REST APIs, builds Azure cloud-native backend services, manages containerized deployments, optimizes SQL databases, and integrates data platforms. Collaborates with architects, product owners, DevOps, QA, business stakeholders, and global delivery teams in an Agile environment. Provides technical leadership across countries and insurance products while ensuring availability, security, documentation, and alignment with enterprise standards.

Develop and support full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; writing and reviewing code; developing CRUD APIs and microservices; supporting production incidents; participating in Agile planning and user-story refinement; and deploying applications in cloud environments. The role requires collaboration with product, Scrum, and architecture teams and hands-on experience with Java, React or Angular, SQL, Kubernetes, messaging systems, and cloud platforms.

The job description provides limited role-specific information. The Assistant Manager will work at MetLife, a global financial services company, in a hybrid setting. The organization emphasizes curiosity, adaptability, growth mindset, responsible use of AI, collaboration, inclusion, customer service, and continuous improvement.

Performs data profiling, validation, quality testing, anomaly detection, pipeline monitoring, and quality reporting across cloud and on-premises environments. Builds validation rules and data quality artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with data lakes, data warehouses, datamarts, and enterprise data platforms.

The Data Analyst develops production-grade data and analytics solutions by translating business needs into functional requirements, analyzing and validating data, and contributing to architecture, governance, modeling, quality, engineering, and data science initiatives. The role independently leads solution design and estimation, collaborates with business and technology stakeholders, mentors analysts, and applies SQL, big data, cloud, and data storage expertise to solve complex business problems.

Build and maintain cloud or on-premises ETL/ELT pipelines for large-scale structured and unstructured data processing. Ensure data quality, security, and compliance while collaborating with business, technology, operations, governance, architecture, data science, DevOps, and BI teams. The role requires expertise in big data frameworks, Azure services, distributed databases, data warehouses, data marts, and data lakes.

Develops production-grade data science and analytics solutions across broad business problems. Responsibilities include statistical analysis, hypothesis testing, feature engineering, machine learning modeling, NLP, OCR, generative AI, prompt engineering, and MLOps using cloud AI services. The role mentors data scientists, partners with stakeholders, communicates insights through storytelling, and applies expertise to banking, financial services, and insurance use cases.

Leads the design, development, and maintenance of scalable batch and real-time data pipelines across Azure and on-premises environments. Builds production-grade ETL/ELT solutions, optimizes performance and reliability, ensures data quality and compliance, and solves complex business problems. Collaborates with business and technology stakeholders, leads solution design and estimation, and coaches data and analytics talent.

Develop and maintain full-stack enterprise applications using JavaScript, Spring Boot, microservices, MySQL, React, and Node.js. Build server-side and client-side components, apply software design patterns, create scalable and responsive solutions, implement unit tests, and deliver work within established timelines.

MetLife is seeking a Senior Software/Platform Engineer focused on DevOps Engineering. The role supports the company’s AI-enabled, people-centered technology strategy within its global financial services organization.

Leads MetLife’s India-based enterprise data engineering organization, overseeing data architects, engineers, platform engineers, and scrum leads. Responsibilities include setting data engineering roadmaps, designing scalable data architectures and platforms, directing ETL/ELT solutions, improving data governance and storage, and delivering trusted data products. The role also owns talent acquisition, team development, cultural transformation, stakeholder alignment, and strategic data-driven innovation across global financial services operations.