Senior Distributed Systems Engineer – Continuous Profiler

Datadog, Inc.

Madrid

Hybrid

EUR 90,000 - 120,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work model
Stock options
Continuous professional development
Mentor and buddy program
Inclusive and global benefits

Job summary

Datadog's Continuous Profiler team is building a cutting-edge profiling product designed to run with minimal overhead in production. You will help design and implement core services, collaborating across runtime engineers, data scientists, and designers to scale profiling for Go and Python workloads.

As a distributed systems engineer, you will own code from development to production, engage with customers, and help drive improvements to the profiling platform in a hybrid work environment.

Qualifications

  • Experience with Java and/or Go is essential.
  • Distributed systems engineering in a high-performance, large-scale environment.
  • Excellent communication skills in English.
  • Ability to review architectural proposals and guide technical trade-offs.

Responsibilities

  • Design, build and contribute to core profiling services at scale.
  • Iterate with customers and cross-functional squads from exploration to product experiences.
  • Own code from development to production and meet SLO/quality gates.
  • Collaborate with internal/external stakeholders to consume profiling data (UI, tools, integrations).

Skills

Java
Go
Distributed systems
English
Architectural review
AI coding agents
Distributed teamwork
Statistics knowledge

Job description

Datadog's Continuous Profiler team is building a cutting-edge profiling product designed to run with minimal overhead in production. You will help design and implement core services, collaborating across runtime engineers, data scientists, and designers to scale profiling for Go and Python workloads.

As a distributed systems engineer, you will own code from development to production, engage with customers, and help drive improvements to the profiling platform in a hybrid work environment.

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