As a Senior Infrastructure Engineer, you’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data-driven decision-making at scale.
What you’ll do as a Senior Infrastructure Engineer
- Own and operate our Databricks infrastructure to ensure performance, reliability, and cost-efficiency
- Build and manage cloud infrastructure using AWS and infrastructure-as-code tools like Terraform
- Architect and document scalable systems that support reproducible and automated ML workflows
- Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs
- Lead complex engineering projects from design through implementation and long-term support
- Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices
- Champion technical excellence through peer reviews, mentorship, and deep documentation
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.
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.
What you’ll bring
- At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles
- Proven hands-on experience with Databricks in a production environment
- Strong knowledge of infrastructure-as-code, especially with Terraform or Pulumi
- Proficiency with AWS and container technologies such as Docker and Kubernetes
- Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit-learn)
- A track record of owning and operating complex systems at scale
- Strong communication skills with the ability to produce clear, technical documentation
- Experience working cross-functionally in fast-paced, collaborative environments
