4 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 engineering 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 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.
- Benefits may vary by country of employment and nature of employment.
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.