Job Overview
Location
Remote - Bulgaria
Job Type
Full-time
Category
Data Engineer
Date Posted
March 19, 2026
Full Job Description
đź“‹ Description
- • As a Lead Infrastructure Engineer at DraftKings, you will design, build, and operate the machine learning platform and Databricks infrastructure that powers scalable, reliable data science across the organization, enabling teams to move from ideas to impact without friction by owning the backbone of model development, training, and deployment.
- • You will own and operate Databricks infrastructure with a focus on reliability, scalability, performance, and cost optimization; build and manage cloud infrastructure on Amazon Web Services using infrastructure-as-code tools like Terraform; author and review technical designs that enable scalable, automated, and reproducible machine learning workflows; lead and mentor engineers to grow team capability and strengthen day-to-day execution; partner closely with data scientists, data engineers, machine learning engineers, and infrastructure teams to align platform capabilities to real-world needs; drive engineering initiatives from technical planning through delivery, production rollout, and long-term maintenance; stay current on data platform and machine learning platform trends, applying best practices that improve platform efficiency, usability, and governance; and coach and mentor teammates through strong technical feedback, thoughtful enablement, and shared ownership.
- • You will join a forward-thinking, innovation-driven team at DraftKings, a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, where AI is integral to enhancing customer experiences, streamlining operations, and unlocking new possibilities, and where teams are energized by emerging technology and actively shaping the future.
- • In this role, you will deepen your expertise in machine learning platform engineering, gain leadership experience in mentoring and guiding technical teams, and contribute to high-impact infrastructure that supports scalable AI and data science initiatives, positioning you as a key enabler of DraftKings’ technological advancement and innovation culture.
🎯 Requirements
- • At least 5 years of experience in machine learning platform, data platform, data engineering, or infrastructure engineering roles.
- • Hands-on experience administering and operating Databricks in production environments.
- • Deep familiarity with infrastructure as code, including Terraform or Pulumi, and proven ability to manage change safely at scale.
- • Experience with AWS, Docker, Kubernetes, and continuous integration and continuous delivery pipelines.
- • Strong Python skills and familiarity with machine learning tooling such as MLflow, pandas, and scikit-learn.
- • A track record of owning complex systems end to end, including reliability improvements, incident follow-up, and performance tuning.
🏖️ Benefits
- • Opportunity to work on cutting-edge AI and machine learning infrastructure at a leading regulated gaming and technology company.
- • Remote work flexibility based in Bulgaria with access to DraftKings’ global technology teams and innovation initiatives.
- • Professional growth through mentorship, leadership responsibilities, and exposure to cross-functional collaboration with data science, ML, and engineering teams.
- • Access to DraftKings’ resources and support for employment requirements, including guidance on gaming licensing if applicable to your role.
Skills & Technologies
Python
AWS
Docker
Kubernetes
Terraform
DevOps
Senior
Remote
About DraftKings Inc.
DraftKings Inc. operates regulated digital sports entertainment and gaming products in North America. Founded in 2012, it offers daily fantasy sports, sports betting, iGaming, and media content through web and mobile platforms. The company holds gaming licenses in multiple U.S. states and provinces, providing real-money wagering on professional and collegiate sports, online casino games, and live-dealer tables. Revenue is generated via entry fees, rake, and sportsbook hold. DraftKings has partnered with major leagues and teams, and it trades on the Nasdaq under DKNG.
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