Jobs at MetLife

Designs, builds, maintains, and optimizes cloud or on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures reliability, scalability, data quality, security, and compliance. Collaborates with business and technology partners across data governance, architecture, modeling, science, DevOps, and BI. Mentors data engineers and independently leads solution design, estimation, and delivery.

Designs, builds, maintains, monitors, and optimizes scalable ETL/ELT pipelines for structured and unstructured data across Azure and on-premises environments. The role supports batch and real-time processing, data quality, security, compliance, and performance tuning. It collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams to deliver production-grade data and analytics solutions.

Develop and maintain full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; developing with React or Angular, Java, SQL, microservices, Kubernetes, and cloud platforms; participating in code reviews, testing, deployment, incident resolution, production support, Agile planning, and user-story refinement.

Designs, develops, maintains, and modernizes COBOL applications on AS400/IBM i-Series platforms. Ensures production stability, performance, availability, incident resolution, deployments, integration, and continuous improvement for critical insurance systems. Collaborates with business and engineering stakeholders in Agile delivery, participates in architecture and code reviews, and supports knowledge documentation and transfer. The role may require weekend deployments and flexible hours aligned with Egypt business operations.

Designs and develops complex applications and systems from the ground up. Provides technical leadership across large projects, balancing technical solutions, business value, and operational simplicity. Builds CRUD APIs, integrations, microservices, and message-driven applications using JavaScript, Java, SQL, cloud platforms, Kubernetes, databases, and scripting technologies.

Build and maintain scalable batch and streaming data pipelines, ingestion processes, curated datasets, and data models for analytics and data products. Support data quality monitoring, documentation, governance, security, troubleshooting, code reviews, testing, and CI/CD. Collaborate with analysts, product owners, developers, and DevOps teams while using Azure services, Python or comparable programming languages, SQL, Spark, Databricks, Synapse, and orchestration tools.

Supports management within MetLife’s financial services organization. The provided description contains company background, strategic priorities, and an AI-enabled workplace overview, but does not specify the assistant manager’s day-to-day responsibilities, qualifications, compensation, travel, or clearance requirements.

Leads solution architecture, technology strategy, and design governance for .NET full-stack enterprise applications and Azure data platforms. Defines scalable, secure, cloud-native architectures spanning front end, APIs, microservices, integration, and data layers. Guides engineering teams, conducts design reviews, evaluates technologies, manages architectural risks, and communicates decisions to technical and business stakeholders. Provides targeted hands-on support for proofs of concept, troubleshooting, architecture validation, and complex technical challenges.

Develop scalable, cloud-native full-stack applications using React, Java, and Spring Boot. Build secure REST APIs and microservices, optimize responsive and accessible user experiences, maintain high-quality UI and backend code, and collaborate cross-functionally on enterprise solutions.

Build and maintain data validation rules, test cases, quality artifacts, profiling processes, anomaly detection, and quality reports. Perform data quality checks across testing lifecycle stages and collaborate with business, technology, operations, governance, architecture, engineering, and analytics teams. Lead solution design and estimations, work across cloud and on-premises data environments, and mentor Data Quality Analysts.

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.

Supports the development, customization, administration, troubleshooting, and integration of Salesforce applications. Builds solutions using Apex, Aura, Lightning Web Components, SOQL, Flow, and other declarative capabilities. Performs user administration, data management, reporting, documentation, testing, defect resolution, and platform support. Collaborates with senior developers and cross-functional stakeholders in an Agile environment while following security, coding, governance, and release-management standards.

Supports development, customization, administration, troubleshooting, and data management for Salesforce applications. Builds solutions using Apex, Aura, Lightning Web Components, SOQL, Flow, and other declarative capabilities. Assists with integrations, defect resolution, testing, documentation, security governance, and Agile delivery. Collaborates with senior developers and stakeholders to implement features and improve platform functionality while developing expertise across the Salesforce ecosystem.

Develop, modernize, integrate, test, deploy, and support critical insurance applications using Java and React. Own production stability, incident resolution, root cause analysis, performance optimization, releases, documentation, and knowledge transfer. Collaborate with product, business, infrastructure, and Agile teams on secure, scalable solutions. Apply unit testing, automation, CI/CD, DevSecOps, architecture practices, and AI-enabled development tools while supporting legacy platform modernization and operational continuity.

Leads transformation initiatives that improve business-process efficiency and effectiveness through Power Platform automation, analytics, Lean, and Six Sigma. Responsibilities include requirements gathering, solution architecture, Power Apps and Power Automate development, Power BI reporting, testing, deployment, governance, lifecycle support, documentation, training, stakeholder management, and benefits tracking. The role independently identifies improvement opportunities and delivers end-to-end solutions while ensuring data quality, security, compliance, and continuous improvement.