Senior Developer - AI-Driven 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

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