• Play a key role in evolving a high-impact, real-time platform, working hands-on with a complex Java (Spring Boot) microservices architecture; • Dive deep into existing services to uncover, refine, and document critical business logic—laying the groundwork for a next-generation, AI-native system; • Actively contribute to a major platform transformation, helping reshape the system, while ensuring seamless continuity and delivery; • Design and build scalable, distributed solutions using modern technologies, tackling real-world complexity at scale; • Leverage cutting-edge AI tools and agent-based approaches to rethink how software is built—driving innovation toward spec-driven, intelligent systems.

• Design and develop features for the CD platform that are secure, well-tested, and high-performance, with a focus on distributed systems architecture in Go. • Take end-to-end ownership of features from design through implementation, code review, deployment, and iterative refinement. • Contribute to architectural decisions on a greenfield codebase, partnering with the Engineering Manager and Principal Engineer to assess feasibility and scope. • Advocate for product quality, security, and performance improvements with impact across the team, and help define standards through active code review. • Provide mentorship to junior and intermediate engineers, helping them grow and remove blockers to their autonomy. • Collaborate with cross-functional partners — Product Management, UX, adjacent engineering teams — to deliver against product commitments. • Participate in on-call rotations to assist with troubleshooting and urgent engineering issues.

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 Lead Backend Engineer, you'll lead the charge in building scalable systems that power real-time experiences for millions of customers. You'll architect robust solutions, write high-performance code, and guide a team committed to technical excellence. Working across disciplines, you'll align engineering execution with business strategy and elevate our enterprise platform. This is a rare opportunity to lead with impact, shape product direction, mentor talent, and drive innovation at scale. What You'll Do - Architect, develop, and maintain scalable and secure systems and APIs that power high-impact applications used by millions of users in a real-time, always-on environment. - Take ownership of the full development lifecycle from shaping the architecture of new features to breaking down workstreams and guiding implementation. - Lead by example, writing high-performance, well-tested code that meets our rigorous standards for reliability and scalability. - Set and enforce best practices around code quality, design patterns, testing, and system performance. - Triage, debug, and resolve complex issues in production environments, driving a culture of accountability and operational excellence. - Collaborate cross-functionally with Product, Design, and Engineering teams to align technical solutions with strategic business goals. - Act as a technical mentor and coach, providing guidance and feedback that helps engineers grow and deliver their best work. - Play a critical role in shaping the team's roadmap and technical direction while fostering a strong engineering culture grounded in ownership and continuous learning. What You'll Bring - Bachelor's degree in Computer Science or any suitable combination of education, experience, and training. - At least 5 years of experience in object-oriented backend development using languages such as C#, with advanced expertise in OOP principles, design patterns, and backend architecture. - Proven ability to architect, build, and scale distributed systems in Cloud environments such as AWS or Google Cloud Platform (GCP). - Deep experience developing and maintaining comprehensive automated test suites, including unit, integration, and performance tests, to ensure system resilience and scalability. - A strong track record of mentoring engineers, leading code and design reviews, and driving high-impact technical decisions across cross-functional teams. - A proactive mindset with a focus on continuous improvement, code quality, and driving engineering best practices across teams. #LI-TK1 #LI-REMOTE 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.

• Design and build systems that power audiobook ingestion, transformation, and delivery — ensuring performance, accuracy, and scalability across millions of titles. • Contribute across the stack, from backend services and APIs to lightweight interfaces or operational tools, depending on the team’s evolving needs. • Collaborate with engineers, PMs, and designers to translate sophisticated workflows into elegant, maintainable, and reliable systems. • Be responsible for your impact — take operational responsibility for the services you build and drive continuous improvement in reliability and performance. • Adapt and T-shape: Step into areas beyond your comfort zone (e.g., data pipelines, internal tooling, or deployment infrastructure) as the mission evolves. • Author and review RFCs, sharing your insights and shaping technical decisions that affect the broader Audiobooks ecosystem. • Embrace the Audiobooks Mission expectations: operate with “short toes,” take ownership beyond team boundaries, and value pragmatic, reversible decisions. • Mentor and collaborate with peers, sharing knowledge and contributing to an inclusive, psychologically safe engineering culture.