DraftKings is looking to integrate AI into its core operations to enhance customer experiences, streamline processes, and unlock new opportunities. The company needs to build and scale backend systems that power intelligent, data-driven experiences for millions of users, bringing modern AI capabilities into production.
Requirements
- At least 3 years of professional experience in backend software development using languages like C, 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.
