Senior Software Engineer

The Container Autoscaling team is part of the Container Monitoring product within the Infrastructure Observability group at Datadog. We're responsible for building and evolving Datadog's Kubernetes Autoscaling product—a solution that enables companies to automatically adjust Kubernetes resources to optimize performance, improve efficiency, and reduce infrastructure costs.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You'll Do:

• 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
  
  

Who You Are: 

• You have a significant experience (7years+) 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.).
  
  

Bonus points:

• 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

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• 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

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

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