Senior Platform Engineer — AI-Driven Infra & Kubernetes

DraftKings; United States; Remote; USD 120,000 - 149,000; Full time

Job summary

DraftKings is seeking a Senior Platform Engineer to design, build, and maintain scalable platform capabilities used by engineering teams across DraftKings. You will work primarily with C# and .NET Core, while improving Kubernetes-based infrastructure, automation, and deployment practices.

Responsibilities include expanding platform observability, refining deployment strategies, and mentoring other engineers. Experience with AWS/GCP and GitOps is highly valued in a distributed systems environment.

Qualifications

• 4+ years of software development experience.
• Experience with distributed systems.
• Hands-on Kubernetes and containerization.
• Cloud experience with AWS or GCP.

Responsibilities

• Design, build, test, deploy, and maintain platform capabilities for engineering teams.
• Develop scalable software primarily using C# and .NET Core.
• Improve platform infrastructure through automation for reliable delivery.
• Manage Kubernetes environments and automate deployments with Helm charts.
• Apply GitOps to improve deployment automation and reliability.
• Build solutions for distributed systems with focus on scalability and performance.
• Troubleshoot complex issues across distributed environments.
• Collaborate with teams to translate requirements into scalable solutions.
• Conduct code reviews and mentor engineers.
• Improve observability, performance testing, and deployment strategies.

Skills

Distributed systems

C#/.NET

Troubleshooting

SDLC knowledge

Team collaboration

Performance tuning

Observability mindset

Tools

Kubernetes

Docker

Helm

GitOps

Datadog

ELK Stack

AWS

GCP

Job description

DraftKings is seeking a Senior Platform Engineer to design, build, and maintain scalable platform capabilities used by engineering teams across DraftKings. You will work primarily with C# and .NET Core, while improving Kubernetes-based infrastructure, automation, and deployment practices.

Responsibilities include expanding platform observability, refining deployment strategies, and mentoring other engineers. Experience with AWS/GCP and GitOps is highly valued in a distributed systems environment.