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Fullstack Software Engineer (Privacy Engineering)

347Β 000 - 385Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Fullstack Software Engineer (Privacy Engineering): Building internal tools, workflow systems, and data pipelines for lawful data access requests and Legal Operations with an accent on sensitive-data handling, authorization, auditability, and reliable retrieval. Focus on designing privacy and security controls, translating ambiguous legal requirements into durable systems, and operating production workflows with observability and safe automation.

Location: San Francisco, United States

Salary: $347K–$385K base pay annually, plus equity, eligible performance-related bonuses, and benefits.

Company

OpenAI is an AI research and deployment company developing and safely deploying general-purpose artificial intelligence systems.

What you will do

  • Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, including intake, scoping, authorized retrieval, review, preparation, and audit.
  • Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle records accurately and reproducibly.
  • Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows.
  • Partner with Legal and Legal Operations to translate legal and operational requirements into technical designs and operator experiences.
  • Identify responsible automation opportunities while preserving human review, judgment, and accountability.
  • Own production systems through testing, observability, incident response, documentation, reliability improvements, and architectural roadmap work.

Requirements

  • Experience building or operating systems for lawful data access requests, including understanding of the legal-process lifecycle, privacy and security constraints, auditability requirements, and operational sensitivities.
  • Strong backend engineering fundamentals and experience building production services or data-intensive systems.
  • Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data.
  • Track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly.
  • End-to-end ownership, including operating built systems, and comfort learning unfamiliar products and domains.
  • Care for operator experience and motivation to make complex workflows safer, clearer, and more efficient.
  • Experience collaborating across Engineering, Legal, Operations, Privacy, and Security stakeholders.

Culture & Benefits

  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
  • Health and dependent-care flexible spending accounts, commuter benefits, life and disability coverage, and a 401(k) plan with employer match.
  • Paid parental, medical, caregiver, sick, and safe leave, flexible paid time off for exempt employees, and paid company holidays and office closures.
  • Mental health and wellness support, an annual learning and development stipend, office meals, and eligible meal delivery credits.
  • Relocation support is available for eligible employees.
  • Work emphasizes safety, human needs, privacy, security, and collaboration across disciplines.

Hiring process

  • Additional benefits details are provided during the hiring process.
  • Background checks are administered in accordance with applicable law.

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