The Crown Is Yours
As a Senior Software Engineer, AI, you'll design and scale backend systems that power intelligent, data-driven experiences for millions of users. You'll own critical services end-to-end, from rapid iteration to long-term reliability, while helping bring modern AI capabilities into production. You'll collaborate across disciplines to turn data and machine learning, and/or Gen AI insights into scalable, real-time systems that enhance product experiences. This is a role for engineers who thrive on impact, embrace technical depth, and are energized by what's next in backend and AI-driven technology.
What You'll Do as a Senior Software Engineer
- 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
- Lead by example: mentor teammates, elevate engineering standards, and drive best practices in design and delivery
What You'll Bring
- 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
- 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
- Bachelor's Degree in Computer Science or equivalent combination of education and experience
#LI-SM1
Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
Top Skills
What the Team is Saying
What We Do
It's simple, at DraftKings, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. We’re developing the most innovative and entertaining real money products and offers; to forever transform how people experience sports; to be a fully vertically integrated sports betting operator. It's our ultimate goal to build the best, most trusted, and most customer-centric destination for our players.
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Why Work With Us
Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. Ready to own what’s next?
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our flexible hybrid policy empowers team members to work where they’re most productive—whether at home or in our collaborative offices. We trust our teams to choose what works best for them to thrive and innovate.
