Software Engineer, Privacy

Responsibilities

• Write well-crafted, well-tested, readable, and maintainable code.
• Promote appropriate technology and engineering best practices.
• Partner with teams across Lyft on organizational privacy initiatives.
• Partner with senior engineers to design, build, and maintain systems that enhance privacy across the organization.
• Independently lead tasks from idea to execution.
• Participate in code reviews to ensure code quality and distribute knowledge.
• Support brown bags and tech talks, and champion appropriate technology and engineering best practices.
• Contribute to the development of controls and continuous testing, and design remediation and risk-mitigation solutions.
• Partner with cross-functional stakeholders to enable privacy by design in products, services, and business processes.
• Anticipate problems and proactively suggest architectural improvements.

Requirements

• Proficiency in at least one general-purpose programming language, such as Python, Java, or Go.
• Exposure to at least one operational or analytical data system, such as DynamoDB, Aurora, Redis, or Databricks.
• Proficiency in at least one query language, such as SQL, Cypher, MQL, or PL/SQL.
• Familiarity with distributed systems.
• Ability to learn and research new technologies rapidly and build scalable solutions.
• Ability to write thorough, scalable, and clear design documentation.
• Ability to manage an independent workload with guidance from senior engineers.
• Good written and verbal communication skills.
• Experience using AI-assisted development tools responsibly, such as GitHub Copilot, Cursor, or AI agents.
• Willingness to work through ambiguity and develop deployable solutions to complex problems.

Preferred Qualifications

• Knowledge of privacy or security engineering.
• Experience with ETL tools such as Airflow, Spark, or Jupyter Notebooks.
• Familiarity with CCPA, GDPR, and other privacy regulations.
• Experience with automation and creating tools for distributed systems.