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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.

Supports technical project delivery through requirements gathering, functional and technical specifications, system behavior definition, API and data modeling, integration analysis, gap analysis, testing documentation, and application troubleshooting. Collaborates with stakeholders, development teams, vendors, and business owners to translate business needs into implementable solutions. The role also supports risk management, incident management, Agile delivery, and reliable operation of enterprise systems.

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 data quality activities across the analytics lifecycle, including profiling, validation, anomaly detection, pipeline monitoring, testing, and quality reporting. Builds data quality rules and artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with large on-premises and cloud datasets across data lakes, warehouses, and marts.

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.

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.