Senior Developer, Sales Technology

MetLif; Cary (NC); Hybrid; USD 105,000 - 155,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer matching

Parental leave

Paid time off

Job summary

MetLife’s Global Technology team is advancing digital solutions for customers worldwide. As a Senior Developer, Sales Technology you will design, build, test, and support secure, scalable B2B sales tech and data integrations, within an AI-assisted delivery model.

You’ll collaborate with Product Owners, Analysts, DevSecOps, and business stakeholders to translate requirements into technical outcomes, using Python/Java, SQL, REST APIs, and Azure to accelerate value while maintaining enterprise

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

SQL

REST APIs

Azure

CI/CD

GitHub Actions

Azure DevOps

Databricks

Power BI

Tools

Databricks

Azure Data Lake

Azure Data Factory

Foundry

Power BI

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 Opportunity

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary rangefor 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 theworld’s leading financial services companies; providing insurance, annuities,employee benefits and asset management to individual and institutionalcustomers. With operations in more than 40 markets