Jobs at MetLife

Owns the design, development, deployment, maintenance, and production support of critical insurance applications and platforms. Responsibilities include incident resolution, root cause analysis, system integration, performance optimization, code reviews, technical design, Agile delivery, automated testing, CI/CD, modernization, documentation, and deployment leadership. The role requires hands-on full-stack expertise with Python, React, and Java, plus strong operational ownership and collaboration across global teams.

Architects, develops, and deploys enterprise generative AI and agent-based solutions using LLMs, retrieval pipelines, Microsoft agent technologies, Azure services, Python, and C#/.NET. Owns platform architecture, infrastructure as code, CI/CD, observability, governance, optimization, and roadmap advancement. Leads solution design, stakeholder collaboration, code reviews, mentoring, and post-deployment improvements for employee-facing AI applications.

Design, develop, and deploy Power Apps and Automation Anywhere RPA solutions integrating SharePoint, Dataverse, SQL databases, APIs, OCR, PDFs, and email. Lead requirements analysis, feasibility assessments, technical design, documentation, testing, UAT, troubleshooting, and deployments. Collaborate with architects and business stakeholders to improve automation maturity, mentor junior developers, and uphold coding, governance, and security standards.

Develop and support Salesforce applications using Apex, Lightning Web Components, SOQL, and declarative tools. Responsibilities include customization, administration, troubleshooting, data management, integrations, documentation, testing, and Agile delivery. The role collaborates with senior developers, architects, administrators, and business stakeholders to deliver secure, scalable solutions and develop expertise in Salesforce technologies, including Agentforce.

Build and deliver scalable, cloud-native, API-driven applications using React, Node.js, Next.js, Azure, REST APIs, and microservices. Develop accessible, high-performance interfaces, implement CI/CD pipelines, apply DevSecOps and automated testing practices, troubleshoot production issues, and collaborate with cross-functional teams to deliver reliable software solutions.

Develop and maintain Azure Databricks data pipelines using PySpark, Spark SQL, SQL, and Delta Lake. Support Informatica-to-Databricks modernization and HR data integrations, build source-to-target mappings and dimensional models, perform profiling, testing, reconciliation, and defect resolution, and create technical documentation. Apply data governance and access controls through Unity Catalog, participate in agile ceremonies and code reviews, and escalate risks while working under senior direction.

Designs and deploys scalable Azure Databricks data pipelines using PySpark, Spark SQL, and Delta Lake across medallion layers. Builds HR data models, source-to-target mappings, reconciliation controls, governance, lineage, documentation, and data quality processes. Modernizes legacy Informatica and SQL integrations, including Oracle HCM feeds. Collaborates with distributed agile teams, mentors junior engineers, and supports production cutovers for sensitive employee data.

Lead Oracle HCM Cloud implementations and provide hands-on configuration across Core HR, Performance Management, Learning, and Analytics. Translate business requirements into functional and technical designs, develop Fast Formulas, HCM Extracts, OTBI and BI Publisher reports, and support integrations using HDL, HSDL, REST, and SOAP. Perform testing, production support, troubleshooting, documentation, and stakeholder collaboration throughout the implementation lifecycle.

Lead Oracle HCM Cloud implementations focused on Benefits and HR Analytics. Gather requirements, design and configure solutions, develop Fast Formulas, HCM Extracts, OTBI and BI Publisher reports, and build integrations using HDL, HSDL, REST and SOAP. Support testing, deployment, production troubleshooting, documentation, and process improvements while collaborating with HRIS, IT, and business stakeholders. Additional work may include Core HR, Absence Management, Compensation, Payroll, and Oracle Agent Builder automation.

Designs, builds, and maintains scalable batch and real-time data pipelines across Azure and on-premises environments. Develops data lakes, warehouses, marts, and Medallion architectures using Spark and modern big data technologies. Ensures pipeline reliability, performance, security, governance, privacy, and data quality while collaborating with business, technology, analytics, DevOps, and data governance teams. Supports platform modernization and continuous improvement.

Designs and delivers scalable data engineering solutions across Azure and on-premises environments. Builds batch and real-time ETL/ELT pipelines, data lakes, warehouses, marts, and streaming platforms using Spark and related Big Data technologies. Leads architecture, technical design, optimization, governance, and end-to-end implementation while ensuring quality, security, reliability, and performance. Collaborates with cross-functional stakeholders, mentors data engineers, and communicates technical recommendations to business and technology audiences.

Leads the design, development, and maintenance of enterprise-scale batch and real-time data pipelines across Azure and on-premises environments. Builds scalable ingestion and processing frameworks, optimizes reliability and performance, and ensures data quality, governance, security, and compliance. Provides solution architecture, technical leadership, stakeholder collaboration, mentoring, and engineering standards adoption across complex programs.

Leads quality engineering and test automation for insurance applications, APIs, mobile, web, data-intensive, and AI/ML systems. Designs test strategies, frameworks, dashboards, and acceptance criteria; executes functional, regression, integration, performance, and end-to-end testing; investigates defects; reviews automation code; and drives quality improvements across Agile, DevOps, and geographically distributed teams.

Design, build, and operate production AI services, agentic workflows, and LLM-powered features. Responsibilities include developing Python APIs and microservices, implementing RAG and vector search, optimizing model inference, integrating event-driven systems, deploying services on Docker and Kubernetes, monitoring reliability, managing CI/CD and testing, and partnering with frontend teams to deliver end-to-end AI products.

Supports technology projects through requirements gathering, technical discovery, functional specifications, API and data modeling, integration analysis, testing documentation, application troubleshooting, and stakeholder collaboration. The role translates business needs into implementation-ready designs, performs functional gap analysis, supports Agile delivery, manages risks, and coordinates with development teams, vendors, and business stakeholders across enterprise insurance systems.

Administer and support enterprise Linux infrastructure, including RHEL upgrades, server provisioning, patching, hardening, automation, monitoring, access controls, networking services, storage, troubleshooting, and lifecycle management. Develop Ansible automation, maintain technical documentation, support compliance and vulnerability remediation, coordinate with vendors and database teams, participate in infrastructure projects, and provide 24/7 on-call support.

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.