Jobs at MetLife

Develop and design integration solutions using IBM App Connect Enterprise, middleware, APIs, and Microsoft Azure. Participate throughout the SDLC, including requirements analysis, architecture and code reviews, testing support, documentation, CI/CD operations, troubleshooting, and production support. Collaborate with global stakeholders, translate business requirements into software modules, improve service efficiency, follow IT controls, and contribute to multiple Agile projects.

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.

Develops software using Java for MetLife’s financial services technology environment. The posting provides limited role-specific responsibilities or qualification details, but indicates the position supports the company’s AI-enabled, people-centered technology strategy.

Tests software products and supports quality engineering activities. The posting provides limited role-specific responsibilities or qualification details beyond the Test Engineer designation.

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.

Develop, maintain, modernize, and support critical insurance platforms in Egypt. Responsibilities include software development, system integration, production support, incident resolution, root cause analysis, performance optimization, deployment management, architecture reviews, Agile delivery, documentation, and knowledge transfer. The role collaborates with business stakeholders, product owners, infrastructure teams, engineering groups, and vendors to ensure reliable, scalable, and continuously improved technology solutions.

Develop and support Salesforce applications using Apex, Aura, Lightning Web Components, SOQL, and declarative tools. Assist with administration, data management, troubleshooting, integrations, testing, deployments, documentation, and Agile delivery. Collaborate with senior developers, architects, administrators, and business stakeholders to deliver secure, scalable solutions while building expertise in Salesforce technologies and emerging AI capabilities such as Agentforce.

Designs, develops, maintains, and modernizes COBOL applications on AS400/IBM i-Series platforms. Responsibilities include production support, incident analysis, performance optimization, integrations, testing, deployments, code reviews, documentation, and Agile delivery. The engineer helps maintain high availability for critical insurance systems, supports releases, collaborates with stakeholders and technical teams, and contributes to DevSecOps, CI/CD, and legacy-platform modernization initiatives.

Lead the architecture, design, development, and maintenance of secure, scalable enterprise software platforms for insurance capabilities. Build Java Spring Boot microservices and REST APIs, implement Azure cloud-native solutions, optimize SQL databases, integrate messaging and data platforms, and support CI/CD, testing, monitoring, and documentation. Collaborate with product, QA, DevOps, UI/UX, business, and technology stakeholders in an Agile environment. Provide technical leadership, participate in architecture discussions and code reviews, and support production releases and incidents.

Designs and operates Azure and AKS cloud platforms, CI/CD pipelines, Terraform infrastructure, and DevSecOps controls. Responsibilities include improving reliability, observability, incident response, container security, vulnerability remediation, developer self-service, cloud migrations, governance, and AI-assisted engineering workflows. The role partners with application and security teams to expand platform adoption, enforce secure SDLC practices, and support scalable enterprise operating models.

Leads data governance standards, policies, metadata, business glossaries, lineage, critical data elements, governance metrics, and regulatory alignment. Resolves governance issues, maintains governance artifacts, and collaborates across business, technology, operations, and analytics teams. The role independently leads solution design and estimation while coaching and developing data governance talent.

Design, build, validate and deploy production-grade rule-based and ML models using structured and unstructured data. Perform EDA, feature engineering, monitor and improve model performance, ensure compliance and responsible AI, collaborate across business and tech teams, and mentor other data scientists.

Lead Software/Platform Engineer focusing on DevOps and platform engineering. Design, implement, and operate infrastructure, automation, and CI/CD; collaborate with stakeholders and mentor engineering teams to deliver reliable, scalable systems.

Design and implement production-grade AI and machine learning solutions on an enterprise AI platform. Collaborate with product, architecture, business, and platform teams to develop scalable solutions, provide technical guidance, improve platform capabilities, and ensure reliability, observability, quality, and responsible AI compliance. Mentor junior engineers and promote strong software engineering practices, including testing, documentation, and knowledge sharing.

Develop and maintain full-stack software platform solutions using Angular, TypeScript, Java, Kotlin, and Spring Boot. Build secure, testable frontend and backend features, improve application architecture, support CI/CD pipelines, manage Gradle and Maven builds, publish artifacts, and deliver containerized applications through Azure and AKS. Collaborate with QA and DevOps teams on integration, release troubleshooting, modernization, production support, and shared Kotlin Multiplatform libraries.

Design, develop, and maintain Java microservices and REST APIs using Spring Boot. Build and deploy secure, scalable Azure cloud solutions, work with Docker and Kubernetes, optimize SQL databases, support CI/CD pipelines, document technical solutions, troubleshoot production issues, and collaborate with product, QA, DevOps, and UX teams in an Agile environment.

Develop production-grade data science and analytics solutions across diverse business problems. Apply statistics, hypothesis testing, feature engineering, machine learning, NLP, OCR, and generative AI techniques. Use Azure ML and MLOps practices to deploy models, communicate insights through storytelling, engage stakeholders, and mentor other data scientists. The role focuses on analytical problem-solving within the banking, financial services, and insurance domain.

Designs, builds, maintains, monitors, and optimizes cloud or on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures data quality, security, compliance, reliability, scalability, and performance. Collaborates with business, technology, operations, governance, data quality, architecture, data science, DevOps, and BI teams to deliver production-grade data solutions.

Support migration from Azure DevOps to GitHub Enterprise; modernize CI/CD with GitHub Actions; govern and administer GitHub Enterprise; integrate security and compliance into pipelines; enable developer productivity and Copilot adoption through automation and consulting.

Provide 24x7 support and administration for enterprise Azure cloud infrastructure using Terraform. Monitor, troubleshoot, provision resources, support maintenance, follow incident/change processes, document runbooks, and collaborate to automate and secure cloud operations.