Senior Full Stack Engineer

About The Team

Privacy & Safety Regulations is part of Marketplace Trust, focused on building and operating the systems and capabilities needed to support Client's privacy, safety, and regulatory obligations. The team works cross-functionally with partners across Client and values:

• Building effective, collaborative, and inclusive teams.
• Sourcing ideas and perspectives from partner teams.
• Moving quickly to learn while creating space to improve and simplify systems.
• Balancing delivery speed with reliability, maintainability, and operational health.
• Helping engineers grow their skills, scope, and impact.

About The Role

We are looking for a Senior Engineer to help build and evolve reliable systems for the Privacy & Safety Regulations team. You will lead projects aligned with the team's objectives, determine the technical approach for known goals, and guide moderately complex work from initial problem framing through production operation.

You will work closely with product managers, analysts, researchers, operations partners, and other engineers to deliver customer and business outcomes. The role combines hands-on software development with technical leadership within the team: clarifying ambiguous problems, making sound tradeoffs, managing dependencies, and helping the team deliver high-quality systems.

Requirements

Must-Haves

• Strong hands-on expertise building reliable backend platforms, APIs, and distributed systems.
• Proficiency in at least one production language (PHP, Python, Java, Go, etc.) with a focus on clean, testable, and maintainable software.
• Experience with cloud infrastructure (ideally GCP), CI/CD, service observability, and production incident response.
• Ability to communicate clearly and build cross-functional alignment across product, legal, and engineering teams.
• Foundational knowledge or strong interest in privacy-by-design, data minimization, access controls, and compliance concepts.

Nice-to-Haves

• Experience with data pipelines, metadata systems, PII discovery, classification, or sensitive data controls.
• Integrating and operating third-party privacy, governance, or workflow platforms.
• Privacy-preserving approaches for AI and machine learning systems.