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Salary: USD 244,000 - 305,000 / annual
As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. The Datadog Agent is a flagship open-source project with hundreds of engineers contributing annually across multiple languages and platforms.
You will guide the evolution of the software development lifecycle as AI coding tools reshape how software is developed, while strengthening the approach to software supply-chain security, build infrastructure, correctness, and performance. This role offers the opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog.
Key responsibilities include:
- Leading engineering teams responsible for Agent developer experience, build systems, correctness, and performance benchmarking platforms
- Owning software supply-chain security for a public repository that ships into customer infrastructure, including provenance, signing, dependency and contribution review, and managing new risks introduced by coding agents
- Evolving the Agent software development lifecycle to support hundreds of contributors while improving developer velocity, reliability, and security
- Driving AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure as engineers increasingly work alongside coding agents
- Guiding the evolution of build infrastructure for a complex, multi-language, multi-platform codebase, including adoption of modern build systems
- Hiring, mentoring, and developing engineering managers and staff engineers across multiple geographies
Datadog operates as a hybrid workplace to ensure employees can create work-life harmony that fits them.
QUALIFICATIONS:
- Engineering leader with experience owning software development lifecycle systems and developer infrastructure
- First-hand experience with AI coding tools and flows, excited by opportunities and mindful of challenges created by AI-assisted software development
- Curiosity about proving software correct: deterministic simulation testing, fault injection, property-based testing, continuous performance benchmarking
- Familiarity with complex multi-language development environments, CI/CD, remote build execution and caching; experience with Bazel or similar build systems is a plus
- Proven track record leading multiple teams through technical and organizational change while balancing roadmap velocity, reliability, security, and long-term platform investments
- Demonstrated ability scaling exceptional engineering teams: hiring, coaching, performance management, and building appropriate team structures globally
