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 Platform Engineer, you'll shape the tools and systems that help engineers move faster, build smarter, and deliver high-quality software at scale. You'll work at the intersection of developer experience, platform engineering, and AI-driven innovation, creating solutions that improve how teams build, test, review, and ship code. From modernizing workflows to introducing intelligent automation, you'll help raise the bar for engineering efficiency across the organization. You'll also play a key role in influencing technical direction, strengthening development standards, and making everyday engineering work more seamless and effective. What you'll do as a Senior Platform Engineer - You'll design and build developer-focused tools and services that improve the software development lifecycle, including workflow automation, continuous integration and continuous delivery enhancements, and integrated development environment or tooling integrations. - You'll implement AI-driven capabilities across engineering workflows, including code assistance, documentation generation, test automation, and code review support. - You'll improve the developer experience by identifying friction points, streamlining workflows, and delivering scalable solutions that increase engineering productivity. - You'll promote best practices for developer tooling, local development environments, and platform adoption through clear documentation, practical examples, and hands-on support. - You'll design, deploy, and maintain the core AI platform infrastructure to enable the safe, efficient, and observable operation of production grade AI agents. - You'll participate in design and architecture discussions, contribute thoughtful technical guidance, and help strengthen engineering standards across teams. - You'll collaborate closely with engineers and cross-functional partners to deliver reliable, maintainable systems that support long-term platform growth. - You'll mentor other engineers through code reviews, design feedback, and collaborative problem-solving, helping elevate technical quality across the team. What you'll bring - A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, experience, and training. - At least 3 years of professional experience building backend systems with object-oriented languages such as C# or Java, with a strong foundation in object-oriented programming principles, design patterns, and backend architecture. - Hands-on experience working with continuous integration and continuous deployment pipelines, development frameworks, or internal engineering platforms. - Experience applying artificial intelligence or automation to software engineering workflows, including areas such as code generation, summarization, testing, or knowledge discovery. - Proven ability to mentor and support other engineers through thoughtful code reviews, design reviews, and collaborative debugging. - Strong experience building, maintaining, and improving software systems, with exposure to developer tooling, platform engineering, or infrastructure that enhances engineering productivity. #LI-SP1 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.

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processing capabilities, connecting to complex data sources and delivering impactful analytics. As a Staff Software Engineer - Platform, you will be instrumental in designing and building the core platform services that support scalable data analytics and efficient user experiences. Working as a key technical leader, you will collaborate closely with cross-functional teams including product management, UX, and fellow engineers to architect and implement robust, high-performance platform components. You will focus on enhancing platform scalability, reliability, and extensibility, introducing modern cloud-native solutions and microservices architectures. Your responsibilities include evolving APIs, optimizing data pipelines, supporting multi-tenant environments, and integrating security best practices. You will also mentor and guide engineering teammates, ensuring high technical standards and effective collaboration. Your Qualifications & Skills: - Proficient in backend technologies with strong experience in JVM languages, particularly Java and Kotlin - Deep understanding of distributed systems, microservices, and cloud platforms such as AWS, Azure, or GCP - Experience building scalable, reliable platform services supporting data-intensive applications - Expertise in API design, data pipelines, and integrating security practices in platform development - Strong background in software design patterns, system architecture, and performance optimization - Demonstrated leadership and mentoring skills, with experience guiding engineering teams - Excellent communication and collaboration skills in a cross-functional and remote work environment - Passion for continuous improvement and adopting modern development methodologies like Agile and CI/CD You will thrive in a fast-paced, innovative environment where your contributions significantly impact the product and customers. A bachelor’s degree in Computer Science or equivalent experience, along with multiple years of senior software engineering experience, is expected.

• Develop and maintain reliable, scalable data pipelines, ensuring execution quality, performance, and observability; • Work on the ingestion, transformation, and provisioning of data for analytical consumption and internal applications; • Build and evolve reusable analytical datasets with semantic consistency and a focus on multiple use cases; • Operate and evolve the data stack (e.g., orchestration, transformation, storage), ensuring stability and efficiency; • Actively participate in resolving data incidents, handling diagnosis, remediation, and failure prevention; • Apply engineering best practices (testing, version control, code review, standardization) to ensure code quality; • Collaborate with Analytics Engineering, SRE, and product teams to ensure data meets business needs; • Use AI tools to increase productivity, code quality, and efficiency in problem solving; • Contribute to the evolution of the data platform as a product, improving usability, governance, and reliability

• As a Staff Platform Engineer, you are the owner of the mission-critical cloud infrastructure that powers the WunderGraph Cosmo platform for our enterprise customers. • Your primary responsibility is ensuring the reliability, performance, and scalability of this core platform by defining and meeting stringent SLOs. • You will not only architect our internal systems for scale but also build and operate key product infrastructure, including our customer-facing telemetry pipeline (built on OpenTelemetry and ClickHouse) and the AI pipeline that empowers our products. • You align with the Head of Engineering and collaborate closely with the engineering team and customers. • Enable our engineering teams to ship features for WunderGraph Cosmo fast, reliably, and with confidence through a world-class Internal Developer Platform (IDP). • Drive the architectural vision for the platform, making key decisions on technologies like Kubernetes, Infrastructure as Code, and our observability stack.