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Salary: USD 244,000 - 305,000 / annual
Datadog's Continuous Profiler team is building a production-grade continuous profiling product designed to run with minimal overhead, providing deep insights into application performance under real-world workloads at scale. As a distributed systems engineer on this team, you will contribute to the systems that intake, process, index, store, and analyze profiling data collected from customer applications.
You will work alongside runtime engineers, visualization experts, data scientists, and designers on challenging problems including profiling asynchronous applications, solving memory leaks, and contributing to runtime ecosystems like Go. Your responsibilities include designing and building core services that power the profiling product at unusual scale within Datadog, participating in multi-disciplinary squads to iterate with customers from early exploration through production, owning code from development to production while meeting ambitious SLO and quality gates, and collaborating with internal and external stakeholders on various consumption paths for profiling data (UI, agentic tools, internal applications, integrations, partner products).
Datadog operates as a hybrid workplace, valuing office culture for relationships, creativity, and collaboration while enabling work-life harmony.
QUALIFICATIONS:
- Essential: Experience with Java and/or Go
- Distributed systems engineer with experience building high-performance, large-scale systems
- Excellent English communication skills
- Ability to meaningfully review architectural proposals and guide technical trade-offs in complex product spaces
- Experience working with AI coding agents to produce performant and maintainable results
- Experience collaborating with distributed teams
- Nice to have: Working knowledge of statistical methods such as sampling strategies, Bayesian optimization, sensor fusion, etc.
