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 will play a key role in crafting and optimizing our software solutions, collaborating with multiple teams, and contributing to the evolution of our industry-leading products. This position is ideal for an experienced engineer who enjoys building scalable systems and contributing to infrastructure automation using Platform Engineering practices. What you'll do as a Senior Platform Engineer - Contribute to the development lifecycle, from concept and design to implementation, testing, deployment and maintenance. - Write clean, efficient, and high-quality code, primarily in C# and .NET Core, following best practices for software engineering. - Conduct thorough code reviews, provide constructive feedback, and mentor junior engineers to help grow technical capabilities across the team. - Work closely with stakeholders to gather requirements, clarify specifications, and ensure technical solutions meet the needs of the business. - Build and improve platform infrastructure through software development, enabling scalable, reliable, and efficient systems to support engineering workflows and application delivery. - Apply GitOps practices to streamline deployment processes. - Manage Kubernetes-based infrastructure and automate application deployments using Helm Charts. What You'll Bring - 3+ years of professional software development experience, ideally with experience in C# and .NET Core. - Experience working with distributed systems and microservice architecture, building scalable and resilient solutions. - Strong troubleshooting skills for software applications, with an ability to diagnose and resolve issues in complex distributed environments. - Hands-on experience with Kubernetes and containerization. - Strong understanding of the Software Development Life Cycle (SDLC) and modern deployment strategies (e.g., canary and blue-green deployments). - Familiarity with cloud platforms such as AWS or GCP would be a strong asset. - Understanding of GitOps methodologies for managing and automating infrastructure and application deployments is highly desirable. - Familiarity with observability platforms such as DataDog and ELK stack. - Excellent communication skills and fluency in English. #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.

• Design, operate, and scale storage based infrastructure systems across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP). • Deepen our team’s expertise in one more areas including: relational databases, search, caching, queuing, and streaming - helping strengthen platform scalability, security, and developer experience. • Partner with Architecture, Release Engineering, Network, Compute, and Security teams to provide a seamless platform for application teams. • Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, SQL, Go, Bash, and Datadog. • Participate in a balanced on-call rotation in an environment that values continuous improvement, helping to improve reliability and reduce operational toil.

• Own and iteratively develop the data backbone that powers Recare’s AI products • Ensure that data ingestion, processing, and delivery are reliable, secure, and production-ready • Design, implement, and operate asynchronous processing systems for heavy AI workloads • Define and maintain API contracts and data schemas across producers and consumers • Own data lifecycle primitives including secure storage, sensitive data handling, and retention and deletion semantics • Develop secure service-to-service authentication for cross-system synchronization

• Sarai il punto di riferimento per tutta la parte di infrastruttura, CI/CD, rilasci e manutenzione degli ambienti • Lavorerai a stretto contatto con i co-founder tecnici per ridisegnare l'architettura infrastrutturale dell'intera piattaforma • Gestirai il ciclo di vita dei deployment sia cloud che on-premise per i clienti enterprise • Sceglierai strumenti e approcci, con libertà e responsabilità reale