At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today! OVERVIEW: At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICK’S Sporting Goods, you’re joining a true team that wins together. We help our Athletes and fellow Teammates better their best by innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park. JOB PURPOSE We are seeking a highly skilled Senior Software Engineer to join our team. This role will focus on developing and optimizing our search and data processing systems, primarily using Elastic, Spring Framework, Kafka, event-driven processing and API’s. The ideal candidate will have a strong background in search technologies, distributed systems, and data processing. This Senior Software Engineer acts as a product-team problem solver and domain SME to design, test, and deliver best in class solutions., performs business/software analysis and coordinates work with moderate complexity within assigned product team. Tech Stack: Java / Spring Framework for building scalable, maintainable backend services and APIs Elasticsearch for search, indexing, relevance tuning, and large‑scale data retrieval Kafka & event‑driven architectures for distributed messaging and real‑time data processing API‑first and microservices architectures to support scalable, decoupled systems Cloud platforms (AWS, GCP, Azure) for deploying and operating distributed systems Containerization & orchestration using Docker, Kubernetes, PCF, and/or AKS CI/CD pipelines to support automated testing, deployment, and continuous delivery Data processing & batch workflows with a focus on performance, reliability, and data integrity System monitoring, performance optimization, and high availability practices Collaborative development practices, including code reviews, mentoring, and cross‑functional delivery
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level