Top Sports Software Engineer Jobs in Atlanta, GA

The Engineering Manager will lead the MarTech team's development of solutions for high-traffic products, manage resources, and boost engineering excellence through collaboration and innovation.

Lead and grow a team of software engineers building custom and SaaS solutions for Vertical Brands. Partner with Product and Design to deliver roadmap initiatives, ensure technical excellence, manage delivery and resources, drive data-driven product improvements, and mentor engineers to build capabilities and high-performing culture.

Collaborate with teams to deliver high-caliber products, solve complex problems with test-driven solutions, and lead projects. You'll need strong Java skills and software architecture experience.

Develop and maintain highly-scalable backends for a sports betting platform. Collaborate with team on features, support production applications, and mentor juniors.

Responsible for developing and enhancing mobile applications, addressing platform and native bugs, collaborating with teams, and optimizing app performance.

Lead a team of engineers to develop Hudl's core products for the Competitive market. Drive technical strategy and mentor team members.

As a Staff Backend Engineer at FloSports, you'll lead backend development initiatives, focusing on scalable distributed systems, authentication frameworks, and mentoring engineers while collaborating with product teams for technical solutions.

As a Senior Software Engineer, you will develop scalable applications, collaborate with teams, and improve code quality while maintaining backend system reliability.

The role involves developing API driven applications, building microservices, working with React screens, and ensuring best practices in a remote team environment.

As a Staff Software Engineer, lead the design of ticketing systems across web, mobile, and backend services, focusing on performance and scalability while mentoring engineering teams.

As a Data Engineer, you'll build and maintain data pipelines, work with ML teams, and ensure the data integrity for analysis and AI-driven products.