Senior Platform Engineer

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. This position is ideal for an experienced engineer who enjoys building scalable systems and contributing to infrastructure automation using Platform Engineering practices.

• 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.

• 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.