Job description

When you join MetLife’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments. In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward. The Senior Developer, Sales Technology is a hands-on software engineer responsible for designing, building, testing, and supporting secure, scalable technology solutions for B2B-side Sales Technology Accelerator Teams. This role helps deliver integrated sales ecosystem capabilities across commercial data, workflow automation, agentic orchestration, headless CRM patterns, market activation, stewardship reporting, control tower measurement, and external data enrichment. The role operates in an AI-First delivery model where small, senior teams use approved AI-assisted engineering tools to accelerate requirements interpretation, solution design, coding, testing, documentation, release readiness, and continuous improvement while maintaining enterprise standards for quality, security, accessibility, observability, and production support. • Design, develop, test, and support production-ready B2B Sales Technology solutions using modern application, data, integration, and cloud engineering patterns. • Build and maintain application and integration components using Python, Java, SQL, REST APIs, event-driven patterns, and Azure-native development practices as appropriate to solution scope. • Partner with Product Owners, Functional Analysts, Scrum Leads, Tech Leads, Data and Analytics teams, QA, DevSecOps, vendors, and business stakeholders to translate outcomes into technical stories, designs, estimates, and implementation plans. • Work with Databricks datasets, SQL outputs, Azure Data Lake, Azure Data Factory, Foundry, Power BI, and related data services to consume, validate, troubleshoot, and operationalize sales technology data flows. • Develop secure integrations across enterprise platforms such as Salesforce/GB360, Seismic, SharePoint, Teams, Outlook, M365, MarTech tools, Power Automate, MFT, BenefitFlow, and external data providers. • Use approved AI-assisted development tools to accelerate code creation, test design, documentation, refactoring, troubleshooting, and technical research while maintaining human review and engineering accountability. • Contribute to agentic workflow, automation, and AI-enabled delivery patterns that improve seller productivity, operating efficiency, reporting quality, and speed to value. • Participate in Agile team routines, backlog refinement, sprint planning, demonstrations, retrospectives, release readiness activities, and cross-team dependency conversations. • Apply secure design and coding practices including authentication, authorization, secrets management, dependency scanning, auditability, monitoring, logging, diagnostics, and production support readiness. • Investigate defects, integration failures, data discrepancies, performance issues, and production incidents; document root causes and implement durable fixes. • Improve engineering practices through peer reviews, reusable patterns, automated testing, CI/CD discipline, feature flags, technical debt reduction, and operational documentation. • Bachelor degree in Computer Science, Information Systems, Engineering, or equivalent work experience. • 4+ years of software or product engineering experience building and running production systems. • Strong hands-on development experience with Python and/or Java, with the ability to design, code, test, debug, and support maintainable software components. • Strong SQL and data modeling skills, including ability to validate source-to-target data, analyze query outputs, and troubleshoot data quality issues. • Experience building enterprise integrations using REST APIs, event-driven patterns, file-based integrations, or other enterprise integration approaches. • Experience with cloud development preferably Azure, source control, branching strategies, CI/CD pipelines, GitHub Actions, Azure DevOps, or comparable deployment tooling. • Working knowledge of secure development and production support practices including authentication, authorization, secrets management, dependency scanning, monitoring, logging, and troubleshooting. • Experience working in Agile delivery teams with backlog refinement, sprint execution, testing support, release readiness, and continuous improvement routines. • Strong communication, collaboration, analytical thinking, problem solving, and stakeholder partnership skills. • Experience designing or building agentic workflows, workflow automation, or AI-enabled productivity solutions. • Experience with Databricks datasets, Azure Data Lake, Azure Data Factory, Foundry, or comparable cloud data and integration services. • Experience using or enabling AI-assisted development tools such as GitHub Copilot, Claude Code, Claude Cowork, or comparable approved engineering productivity tools. • Experience with ETL/ELT, data modeling, structured and unstructured data processing, data enrichment, or cross-platform analytics solutions. • Experience integrating with enterprise platforms such as Salesforce, Seismic, SharePoint, Teams, Outlook, M365, Power Automate, or marketing technology platforms. • Familiarity with Salesforce concepts such as Accounts, Contacts, Leads, Opportunities, Campaigns, Activities, reports, dashboards, and CRM-adjacent workflows. • Experience with SalesTech, MarTech, Customer Data Platforms, CRM-related ecosystems, broker/customer engagement, commercial operations, or sales enablement platforms. • Experience building reporting or analytics solutions using Power BI or comparable visualization/reporting platforms. • Experience with structured and unstructured data sources, external data enrichment, measurement instrumentation, or cross-ecosystem analytics. • Exposure to Seismic APIs, content automation, LiveDocs, enablement platforms, MCP-based data access, prompt engineering, or agent orchestration concepts. • SAFe for Teams, Azure, cloud engineering, DevSecOps, data engineering, or relevant software engineering certification. #LI-WRAPJOB The expected salary range for this position is $104,900 - $154,950 . This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here . About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.

Requirements

Must-haves

Design, develop, test, and support production-ready B2B Sales Technology solutions using modern application, data, integration, and cloud engineering patterns.
Build and maintain application and integration components using Python, Java, SQL, REST APIs, event-driven patterns, and Azure-native development practices as appropriate to solution scope.
Work with Databricks datasets, SQL outputs, Azure Data Lake, Azure Data Factory, Foundry, Power BI, and related data services to consume, validate, troubleshoot, and operationalize sales technology data flows.
Develop secure integrations across enterprise platforms such as Salesforce/GB360, Seismic, SharePoint, Teams, Outlook, M365, MarTech tools, Power Automate, MFT, BenefitFlow, and external data providers.
Use approved AI-assisted development tools to accelerate code creation, test design, documentation, refactoring, troubleshooting, and technical research while maintaining human review and engineering accountability.
Contribute to agentic workflow, automation, and AI-enabled delivery patterns that improve seller productivity, operating efficiency, reporting quality, and speed to value.
Participate in Agile team routines, backlog refinement, sprint planning, demonstrations, retrospectives, release readiness activities, and cross-team dependency conversations.
Apply secure design and coding practices including authentication, authorization, secrets management, dependency scanning, auditability, monitoring, logging, diagnostics, and production support readiness.
Investigate defects, integration failures, data discrepancies, performance issues, and production incidents; document root causes and implement durable fixes.
Improve engineering practices through peer reviews, reusable patterns, automated testing, CI/CD discipline, feature flags, technical debt reduction, and operational documentation.
Bachelor degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
4+ years of software or product engineering experience building and running production systems.
Strong hands-on development experience with Python and/or Java, with the ability to design, code, test, debug, and support maintainable software components.
Strong SQL and data modeling skills, including ability to validate source-to-target data, analyze query outputs, and troubleshoot data quality issues.
Experience building enterprise integrations using REST APIs, event-driven patterns, file-based integrations, or other enterprise integration approaches.
Experience with cloud development preferably Azure, source control, branching strategies, CI/CD pipelines, GitHub Actions, Azure DevOps, or comparable deployment tooling.
Working knowledge of secure development and production support practices including authentication, authorization, secrets management, dependency scanning, monitoring, logging, and troubleshooting.
Experience working in Agile delivery teams with backlog refinement, sprint execution, testing support, release readiness, and continuous improvement routines.
Strong communication, collaboration, analytical thinking, problem solving, and stakeholder partnership skills.
Experience designing or building agentic workflows, workflow automation, or AI-enabled productivity solutions.
Experience with Databricks datasets, Azure Data Lake, Azure Data Factory, Foundry, or comparable cloud data and integration services.
Experience using or enabling AI-assisted development tools such as GitHub Copilot, Claude Code, Claude Cowork, or comparable approved engineering productivity tools.
Experience with ETL/ELT, data modeling, structured and unstructured data processing, data enrichment, or cross-platform analytics solutions.
Experience integrating with enterprise platforms such as Salesforce, Seismic, SharePoint, Teams, Outlook, M365, Power Automate, or marketing technology platforms.

Nice-to-haves

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Application prep

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Keywords to mirror

aiaccessibilitypythonjavasqlrestazurescrumagileci/cd

Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness