At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

The Privacy Engineering team works with teams all across the company to make sure that products and services protect drivers’ and riders’ privacy by designing architectures that reduce the exposure of user data and ensuring appropriate protections are applied to our data. Our mission is to build technology and guidelines to ensure Lyft collects, stores, validates usage, and provides access to data in ways that align with our privacy policies and laws, with the goal of building trust with our customers and achieving privacy excellence.

Responsibilities:

• Design, build, and maintain systems that enhance privacy across the organization
• Advocate for user privacy throughout the organization, consult with engineering teams throughout the software development lifecycle, and escalate potential privacy concerns
• Write well-crafted, well-tested, readable, maintainable code
• Share knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
• Build and maintain distributed systems that attach personal data annotations to various data sets
• Build systems to redact personal data from data stores, logs, and APIs
• Build systems so users can exercise their privacy rights
• Build systems for auditing and compliance
• Partner with teams across Lyft on organizational privacy initiatives

Experience:

• Passion for privacy
• 3+ years of experience in software engineering
• Proficiency in object-oriented programming languages (e.g., Python, Java, Go)
• Proficiency in databases, including analytical (e.g., DynamoDB, Redis, Presto, Aurora etc.)
• Experience developing distributed systems
• Experience building scalable data pipelines leveraging Airflow scheduler/executor framework
• Ability to write thorough, scalable, and clear design documentation
• Experience designing and deploying high performance systems with reliable monitoring and logging practices
• Ability to learn and research new technologies rapidly, analyze systems for privacy impact and build scalable solutions to tackle problems
• Strong collaboration, communication, interpersonal, and organizational skills
• Experience working with cross-functional stakeholders (Compliance, Legal, Product)
• Ability to thrive in a fast-paced startup environment

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment  without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.