Senior Software Engineer - Infrastructure R&D

The Environments Accelerator team, part of the broader Cloud Foundation group is focused on dramatically reducing the time, complexity, and operational overhead required to provision new environments and datacenters across Datadog infrastructure.

In this role, you’ll help design and build the systems that make infrastructure environments reproducible, composable, and increasingly self-service from declarative datacenter configuration and bootstrap orchestration to environment validation and ephemeral infrastructure provisioning.

This team operates as an infrastructure R&D pod, partnering closely with a broad range of product, platform, and infrastructure teams. They test innovative patterns for large-scale infrastructure provisioning and operations, such as creating lightweight, temporary datacenter environments designed to accommodate the rapid expansion of AI inference workloads.

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

What You’ll Do

• Design and build systems that reduce the operational overhead, cost, and complexity of provisioning new infrastructure environments and datacenters
• Develop tooling and orchestration patterns for declarative environment bootstrap, dependency coordination, and infrastructure validation
• Improve the reliability and repeatability of infrastructure provisioning workflows by reducing manual coordination and implicit system dependencies
• Work across infrastructure domains including Kubernetes, cloud infrastructure, identity systems, service bootstrap, and datacenter configuration management
• Collaborate broadly across baseline infrastructure, platform, and product engineering teams to build reusable environment and provisioning capabilities that support the full Datadog platform stack
• Help modernize legacy provisioning and bootstrap workflows into reusable, composable platform primitives
• Contribute to experiments around ephemeral environments, lightweight datacenter footprints, and scalable infrastructure patterns for AI workloads
• Participate in debugging and operational investigations across complex distributed systems and infrastructure dependencies

Who You Are

• You have experience in Golang or similar systems programming languages
• You have experience with Kubernetes and container orchestration systems
• You have demonstrated expertise in designing and implementing scalable automation solutions across multi-cloud environments (e.g., AWS, Azure, GCP), leveraging Infrastructure as Code (IaC), CI/CD pipelines, and cloud-native tooling to improve operational efficiency, consistency, and reliability
• You have experience with Linux, CI/CD systems, from depl