Senior Developer, Sales Technology

When you join Met Life’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, Dev Sec Ops , 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, Mar Tech tools, Power Automate, MFT, Benefit Flow, 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,…