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DatadogDatadogNew York, NY

Senior Software Engineer

Build and optimize the Rust-based Streaming Platform Client library (with Java/Go/Python bindings) at Datadog. Architect resilient client-control plane interactions, drive performance on high-throughput data paths, provide exceptional developer support, and lead complex distributed systems projects.

192k – 240k/yr
Hybrid5+ YOEBackend Engineering

About the role

What You’ll Do

  • Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services.
  • Architect and implement resilient interactions between our client libraries and the control plane.
  • Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency.
  • Champion the developer experience by providing exceptional support, technical documentation, and proactive troubleshooting for our wide user base.
  • Lead high-stakes technical projects, maintaining end-to-end accountability for their delivery and quality.
  • Collaborate with partner teams on delivering projects wider than your team's scope.
  • Mentor junior engineers and interns, fostering a culture of technical excellence and shared knowledge.

Who You Are

  • Self-starter who experiments methodically, iterates rapidly, and views failure as a learning opportunity.
  • Finisher who takes projects through to completion.
  • Thrives in collaborative environments, championing a blameless culture and fostering teammate growth.
  • Communicates complex ideas effectively, with experience gathering requirements from stakeholders and leading high-impact technical initiatives.
  • Deeply committed to user experience, ensuring tools empower developers.
  • Strong proficiency in low-level languages (ideally Rust).
  • Passion for deep-dive investigations, particularly in performance optimization and debugging complex systems.
  • Curious about AI and actively leverage it to enhance development workflow.

Bonus

  • Direct experience operating or using large-scale streaming systems like Kafka.
  • Familiarity with language bindings and FFI.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program
  • Inclusive company culture with Community Guilds (employee resource groups)
  • Access to Inclusion Talks
  • Free global mental health benefits
  • Competitive global benefits (may vary by country and employment type)
  • 401(k) plan and match, paid time off, fitness reimbursements (US-specific)

Skills

RustJavaGoPythonKafkaFfiDistributed Systems
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