Manager I, Engineering

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: Manage and mentor a team of engineers, driving their professional growth Collaborate with Product to shape strategic roadmap and have a significant impact on the product and the user experience of fellow engineers who use the product Engage strategically with complex technical problems and work with your team to produce well‑defined and actionable plans Be a core contributor and reviewer of code, lead design decisions, and participate in our on‑call rotation Who You Are: A proven leader with the ability to manage team dynamics, set goals, provide feedback, and foster a positive and productive work environment You have experience building distributed systems and operating infrastructure with a focus on reliability and fault tolerance You possess a product‑mindset and have comfort working with product managers and customers to scope out roadmaps and development plans. Experience doing this with new products is great to have Experienced in a full stack environment with Go & TypeScript. Kubernetes and infrastructure auto‑scaling experience is preferred You have a/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience Datadog 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. 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. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr