Senior Software Engineer

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

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. In this role, you'll collaborate across disciplines to turn data and machine learning 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

• 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 by mentoring teammates, elevating engineering standards, and driving best practices in design and delivery.

What You'll Bring

• Bachelor's degree in Computer Science or any suitable combination of education, experience and training.

• 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.

• 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.

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.

The US base salary range for this full-time position is 119,500.00 USD - 149,400.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.