Staff Software Engineer

About the role

Rippling's special sauce is its ability to automatically react and understand changes and connections across many systems. Rippling developed Unity, a major platform that connects systems traditionally reliant on bespoke integrations or, in worse cases, spreadsheets. These systems encompass payroll, device management, and others.

As Rippling expands globally, we need to scale up our abilities to support growing needs for data privacy and compliance requirements. This team has a wide range of responsibilities, including the data deletion framework, employee data mapping and anonymization, data retention policy, etc.

As the staff engineer of the team, you’ll play a crucial role in designing and implementing the framework we have and help define our future roadmaps. You’ll work closely with cross-functional teams to ensure that our data practices align with regulatory requirements and industry best practices.

What you will do

• Design, implement, maintain and continuously improve our data privacy features and frameworks

• Contribute to product design and implementation discussions

• Work with legal and other stakeholders, conduct risk assessments to identify potential privacy and compliance risks, and develop strategies to mitigate them

• Work with various engineering teams and leaders across the engineering organization

• Coach junior engineers in the team, lead and introduce engineering best practice
  

Qualifications

• 8+ years of software engineering experience

• Experience with data privacy, compliance or related fields

• Experience translating regulatory requirements (GDPR, etc.) into technical implementations

• Familiar with Python, MongoDB and/or other similar technologies

• Ability to thrive in an dynamic environment by identifying areas of impact and independently pursuing them

• A track record of influencing and enabling forward-thinking technology decisions across a wide organization

• Excellent ability to communicate complex technical ideas with clarity and precision in written and verbal modes