5 hours ago
Responsibilities
- Lead the technical direction of capacity management and workload placement for Datadog’s Kubernetes platform spanning more than 100,000 virtual machines.
- Design and build systems that schedule and deploy workloads across regions while balancing capacity constraints, reliability, and performance.
- Partner with infrastructure teams to evolve multi-region and multi-cloud capacity orchestration.
- Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency.
- Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies.
Requirements
- Significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
- Strong software engineering and programming skills, ideally in Go or a comparable systems programming language.
- Hands-on experience with at least one major cloud provider: AWS, Google Cloud, or Azure.
- Understanding of distributed cloud infrastructure and a strong systems mindset.
- Experience working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions.
- Proven technical leadership across teams and ability to influence architecture without direct management authority.
Benefits
- Hybrid workplace arrangement
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Tech Stack
Categories
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.