• Design and develop robust backend services and APIs using Java. • Build and maintain scalable data pipelines and ETL processes. • Develop high-performance SQL queries and optimize database performance. • Implement and manage AWS-based data solutions. • Integrate data across multiple platforms and systems. • Ensure code quality through unit testing, code reviews, and CI/CD best practices. • Monitor, troubleshoot, and optimize production systems. • Collaborate with data engineers, architects, and DevOps teams to deliver secure, scalable solutions.

• Design, develop, and maintain Java-based backend services for ML pipelines. • Collaborate with data scientists to productionize machine learning models. • Build scalable data ingestion, transformation, and processing pipelines. • Implement APIs and microservices to integrate ML models into applications. • Optimize performance of large-scale data systems. • Deploy and manage ML workloads on Kubernetes or cloud platforms. • Ensure code quality, testing, and adherence to software engineering best practices. • Monitor, troubleshoot, and tune ML systems in production.

• Lead technical delivery by collaborating with product managers and business stakeholders, converting business goals into detailed, executable backend solutions; • Design and implement scalable backend systems and APIs using Python and Django; • Architect and maintain PostgreSQL data models, including schema design and migrations; • Build and optimize ETL processes and workflows to support financial operations; • Ensure data quality and compliance standards are met in all integrations and system interactions; • Participate in sprint ceremonies, architectural planning, and technical discussions; • Monitor system performance, identify bottlenecks, and implement optimizations.

• Develop, test, document, and deploy high quality software into production • Build small features and tools that you and your team use • Participate in the on-call rotation when needed to troubleshoot software issues • Participate in code reviews to maintain code quality and share knowledge • Contribute to team planning and design discussions, building more expertise around design approaches • Improve testability, operational excellence metrics, and team documentation • Help your team define and adhere to the principles, guidelines, and best practices of our engineering strategy • Develop a fundamental understanding of our industry, product, feature set and roadmap • Work closely with our product team and other internal stakeholders to make technology decisions that grow and improve our products • Remain current on the latest technologies and trends in software development • Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities