Netflix

Netflix

Staff Software Engineer (L6) - Developer Productivity — Platform Systems, AIMS Engineering

USA - Remote · Staff+ · Full-time

Sponsorship not specifiedDetected 7 hours ago
PythonJavaScalaCode ReviewCI/CDMachine LearningSparkResearch

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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • AI for Member Systems (AIMS) runs the AI systems behind every recommendation, search result, and personalized experience for 300M+ members.
  • As the AIMS AI/ML stack scales and modernizes, that inner loop has to scale with it, or it becomes the bottleneck on everything else.
  • This is a cross-cutting, high-leverage role - improvements here compound across every team in the org, not just one.

Responsibilities

  • Identify friction in day-to-day engineering and research workflows firsthand, and design tooling and abstractions that remove it at the root rather than patching around it.
  • Design, build, and operate large-scale build and CI/CD systems that keep build, test, and iteration times fast as the codebase, model count, and headcount grow.
  • Partner directly with ML researchers and engineers embedded across AIMS teams to understand real workflows, prioritize the highest-leverage productivity investments, and ship tools people actually adopt.
  • Build and maintain internal developer platforms and self-service tooling that reduce the operational burden on individual teams, so they can focus on ML work instead of infrastructure upkeep.
  • Instrument developer workflows to measure productivity - build times, iteration speed, time-to-first-experiment - and use that data to prioritize where to invest next.
  • Drive adoption of new tooling through documentation, migration support, and hands-on partnership with teams; treat launch as the start of the work, not the end.
  • Set technical standards for developer tooling across AIMS and raise the engineering bar through design reviews and architectural guidance.
  • Evaluate, integrate, and productionize GenAI-powered developer tooling - intelligent build/test selection, automated code review, triage automation - where it measurably improves velocity, and build the guardrails that make it safe to rely on.
  • Senior/Staff AI Software Engineer to own developer productivity for AIMS:
  • the build, test, and iteration loop that our ML researchers and engineers rely on daily.

Requirements

  • Strong software engineering fundamentals, with deep proficiency in Python and working proficiency in at least one JVM language (Scala, Java, or similar).
  • Hands-on experience with distributed build systems (e.g., Bazel, Buck, Pants) and large-scale distributed data/compute frameworks (e.g., Spark, Beam).
  • Comfort with parallel and distributed computing, and experience operating systems at a scale where naive approaches stop working.
  • A track record of diagnosing developer friction from direct observation of how engineers actually work, not just from ticket queues, and shipping tooling that measurably improves it.

Nice to have

  • Experience with ML-specific developer tooling: experiment tracking, training pipeline orchestration, feature stores, or notebook-to-production workflows.
  • Experience with compiler or language tooling, static analysis, or build graph/dependency optimization.
  • Experience operating high-performance computing environments or large-scale batch processing systems.
  • we do not have bonuses.
  • To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
  • The range for this role is $600,000.00 - $1,066,000.00.
  • Netflix is a unique culture and environment.
  • Learn more here.

Company info

  • At Netflix, our mission is to entertain the world.
  • Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.
  • Come be a part of what's next.
  • Platform Systems is the engineering foundation of AIMS, owning reliability, scalability, cost efficiency, and developer experience across the org.
  • We're looking for a
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This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.