DraftKings is looking to integrate AI into its core operations to enhance customer experiences, streamline operations, and unlock new possibilities by designing and scaling backend systems that power intelligent, data-driven experiences for millions of users.
Requirements
- At least 3 years of professional experience in backend software development using languages like C-Sharp, Java, or Python.
- Proven experience designing, building, and operating distributed systems at scale in AWS, GCP, or other cloud environments.
- Exposure to data or ML workflows, from building data pipelines to deploying or integrating ML models in production environments.
- Solid understanding of APIs, microservices, and event driven architecture.
- Strong focus on testing, observability, and performance tuning for large scale backend systems.
Responsibilities
- Design and develop scalable backend systems and APIs that deliver intelligent, real time functionality across a high volume, always-on platform.
- Build and maintain data pipelines and backend infrastructure that enable ML model training, evaluation, and deployment.
- Partner with data scientists and ML engineers to integrate models into production services, ensuring high availability and performance.
- Implement monitoring, experimentation, and evaluation frameworks to measure model and system behavior and continuously improve performance.
- Work closely with product teams to translate AI capabilities into user-facing features that are reliable, fast, and maintainable.
- Stay current with AI infrastructure trends, from model serving to vector databases and observability tools, and bring practical innovation to production systems.
- Deliver clean, testable, production ready code from day one while continuously optimizing for scalability and resilience.
Other
- Bachelor's degree in Computer Science or any suitable combination of education, experience and training.
- Comfort collaborating with data science or analytics teams to translate insights into engineering outcomes.
- Ability to thrive in high ownership, fast paced environments, balancing rapid iteration with long term maintainability.
- Curiosity, adaptability, and a drive to stay ahead in emerging technologies in AI, data systems, and backend architecture.
- May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
