Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform.
Posted by employer 1 month ago
First seen on Joblaze 15 hours ago
Last verified on the company career page 15 hours ago
Skills & Technologies
What you'll build
- Lead the technical direction of capacity management and workload placement
- Design and build systems for workload scheduling and deployment
- Partner across infrastructure teams for capacity orchestration
- Develop production software in Go
- Use data to influence infrastructure decisions
Must have
- Significant experience designing and operating large-scale Kubernetes-based infrastructure
- Strong programming skills in Go or comparable language
- Hands-on experience with at least one major cloud provider
Nice to have
- Strong systems mindset
- Experience with operational data and capacity forecasting
- Proven track record of providing technical leadership
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Engineer on Datadog's Compute team, the individual will lead efforts to optimize capacity management and workload placement for a large-scale Kubernetes platform across multiple cloud providers. Key skills include strong programming abilities in Go and experience with distributed cloud infrastructure, particularly in AWS, Google Cloud, or Azure. This position is suited for seasoned engineers with a background in designing and operating complex systems, as well as a knack for technical leadership. Datadog fosters a collaborative culture, emphasizing the importance of teamwork and creativity in a hybrid work environment.
Joblaze insights
- Listed today — first seen on Joblaze October 10, 2026. Last confirmed on Datadog's careers page October 10, 2026.
- This exact title is also open at 1 other location at Datadog: Lisbon, Portugal.
Quick facts
- Is the Staff Engineer, Compute role remote?
- It's hybrid — Datadog expects some on-site time in Dublin, Ireland.
- Where is the role based?
- Datadog is hiring for this position in Dublin, Ireland.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Go, Google Cloud, Kubernetes.
- What seniority level is this role?
- Datadog targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Engineer, Compute role at Datadog.
From the original posting
As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth.
What You'll Do:
- Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers.
- Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance.
- Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale.
- 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.
Who You Are:
- You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
- You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language.
- You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure.
- You have a strong systems mindset and enjoy solving complex infrastructure, scheduling, or capacity management challenges.
- You are comfortable working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions.
- You have a proven track record of providing technical leadership across teams and influencing architecture without relying on direct management authority.
Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
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About Datadog:
Standard company text repeated across Datadog's postings is omitted here.