Senior Software Engineer - Kubernetes / Container Autoscaling

Requirements

• You have a significant experience (7 years+) as software engineer or platform engineer/SRE that helped you to become fluent in various languages (Golang, C++, Rust, C#, Java,…) and willing to continue to learn more.
• You have in-depth knowledge of Kubernetes, its APIs and some of its internals (APIServer, controllers, volumes, etc.).

Nice to Haves

• You’ve been part of a team operating or managing Kubernetes clusters used by internal or external customers.
• You’ve built reliable and scalable backend applications.
• You already worked on a Cluster or Workload autoscaling project (for instance: HPA, VPA, Cluster Autoscaler, Karpenter, etc.) or product.

What You'll Be Doing

• Build both backend and in-cluster software (end-to-end flows) to power products providing both observability and automated actions
• Participate and contribute to upstream open-source communities
• Do it in Go, Python, or any language that fits the particular task at hand
• Design and write features that solve new problems in the industry
• Work on unsolved, cutting-edge problems to offer best in-class Autoscaling experience
• Have a significant impact on the product and the user experience of fellow engineers who use the product.

Perks and Benefits

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits