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Senior Software Engineer 5 — Validation & Safety Platform

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SeniorFull-time
#446359·Dodano wczoraj·1
Źródło: nofluffjobs.com
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Tech Stack / Keywords

JavaPythonLLMAI AgentsMCPTestingCI/CDSpinnakerMutation TestingStatic AnalysisAgentic EvalsDistributed Tracing

Firma i stanowisko

The Validation & Safety Platform is part of the System Health, Validation & Insights Platform group in Productivity Engineering at Netflix. The team focuses on catching safety and correctness regressions in human-written or agent-generated code before it reaches production. They run validation and safety gates for an autonomous agent fleet that writes, tests, refactors, and deploys code continuously across every domain.

Wymagania

  • Experienced in building and operating platforms used by other engineering teams, with understanding of platform versus API ownership.
  • Advanced user of agentic coding tools including hooks, MCPs, and context management.
  • Working knowledge of agent sandboxing, scoping, and data redaction.
  • Strong communication skills, able to document technical tradeoffs for engineering and non-technical stakeholders.
  • Advocate for strong testing culture, familiar with test frameworks, code coverage tooling, CI systems, and post-deployment verification.

Nice to have:

  • Experience designing or operating developer-platform infrastructure like distribution, CI/CD, or versioning systems.
  • Experience with LLM-based evaluation systems.
  • Hands-on with mutation testing, static analysis, or test-selection systems at scale.
  • Experience sandboxing or scoping agent access to sensitive systems or data.

Obowiązki

  • Design and build validation and safety products used platform-wide: test generation, coverage, safeguards, deterministic and predictive test selection, and mutation testing at scale.
  • Build the polyglot static analysis layer for automated, language-agnostic quality gating of agent-generated code.
  • Develop agent-specific safety signals such as detecting prompt flakiness, evaluating agent trajectories against execution traces, and scoring semantic correctness of agent-generated code.
  • Define clear platform capabilities and make deliberate build-versus-buy, build-versus-extend decisions as the platform evolves.
  • Apply judgment on agent sandboxing, scoping, and data redaction wherever the platform gives agents access to test infrastructure or execution environments.

Benefity

  • Private medical package
  • Life insurance
  • Conferences
  • International environment
  • Employee Giving
  • Employee Assistance Program
  • Family Forming & Reproductive Health
  • PPK (retirement plan)
  • Flexible working hours
  • In-house trainings
  • ESOP (Employee Stock Ownership Plan)
  • Psychological support
  • Modern office building
  • Team events
  • Free lunch
  • Free parking
  • Mobile phone
  • Free snacks and beverages
  • Bike parking
  • No dress code
  • Shower
  • Free breakfast
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