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We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.
Job Responsibility:
Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections
Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes
Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable
Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs
Harden data platforms and backend services through schema-level controls and data handling constraints by default
Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations
Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization
Requirements:
5+ years of industry experience building and operating backend or infrastructure systems in production
Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java)
Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines
Familiarity with global privacy regulations and their architectural implications
Ability to influence and collaborate with teams across legal, compliance, product, and engineering
A bias toward practical, impactful solutions that balance privacy protections with product needs
Nice to have:
Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems
Background in security engineering, privacy engineering, or data governance
Experience with control-plane or metadata-driven enforcement systems
Exposure to data platforms or ML infrastructure
Prior experience in a regulated or highly sensitive data environment
What we offer:
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
Offers Equity
Performance-related bonus(es) for eligible employees