Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

As a Software Engineer, you will build and maintain a native advertising platform, collaborating with teams to enhance user interfaces and improve ad campaign effectiveness.

Lead the Behavioral team to develop systems that translate customer activity into marketing triggers. Drive technical initiatives, manage a team, and ensure operational excellence in scalable backend services.

Lead the Brand Intelligence team, driving AI product integration, managing engineering practices, and fostering a high-performance culture while collaborating across teams.

The Engineering Manager leads and develops engineering teams, drives high-quality software development, enhances processes, and collaborates with stakeholders to deliver scalable solutions.

Design, build, deploy, and optimize scalable full-stack applications integrating databases, APIs, and AI/LLM workflows. Lead architecture, CI/CD (ArgoCD, GitLab), Airflow pipelines, and collaborate cross-functionally to deliver production-grade fintech solutions.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

As a Software Engineer II in the Credit Decisioning team, you will design and develop backend systems, collaborate with cross-functional teams, and support project delivery and operations.

The Staff Software Engineer will enhance observability, maintain CI/CD pipelines, and ensure system reliability, collaborating across teams for effective infrastructure management.

Lead and grow an engineering team to build scalable offer generation and personalization infrastructure. Define roadmap, collaborate with product and ML teams, use experimentation and data to optimize user engagement, and deliver production systems that increase customer lifetime value.