
1001 - 5000 employees
Founded 2012
🎲 Gambling
🎮 Gaming
👥 B2C
Gambling • Gaming • B2C
DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.
🕒 2 days ago
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1001 - 5000 employees
Founded 2012
🎲 Gambling
🎮 Gaming
👥 B2C
Gambling • Gaming • B2C
DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.
• Design and implement AI-driven tools and services that enhance engineering workflows, including code generation, test automation, documentation, and knowledge discovery. • Build intelligent automation into the SDLC through integrations with CI/CD systems, IDEs, code review tools, and other developer platforms. • Collaborate with senior engineers and technical leads to evaluate emerging AI technologies and assess their impact across teams. • Advocate for best practices in AI-assisted development, and provide enablement resources to accelerate internal adoption. • Mentor engineers on AI usage, software architecture, and automation techniques to elevate team-wide capabilities.
• Bachelor’s Degree in Computer Science or a related field, or equivalent combination of education and experience • At least 3 years of experience in backend development using object-oriented languages like C# or Java, with deep knowledge of system design and engineering best practices • Strong experience building developer-facing tools or working on internal platforms focused on productivity and workflow improvement • Hands-on experience integrating AI into software engineering tasks—such as using LLMs for code assistance, automated documentation, or intelligent testing • Proficiency with CI/CD tools, cloud-native environments, and developer infrastructure • A passion for scaling developer efficiency through smart automation and intuitive design • Proven ability to lead cross-functional initiatives and mentor engineers through design, implementation, and optimization.
• Flexible work arrangements • Professional development opportunities
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