> Markdown version of [/jobs/ext/4586197-software-engineer-privacy-engineering](https://www.wearedevelopers.com/jobs/ext/4586197-software-engineer-privacy-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Privacy Engineering - **Company:** Block, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Abstraction Layers, Artificial Intelligence, Amazon Web Services, Data Analysis, Cyber Security, Data Governance, Data Infrastructure, Data Security, Linux, MySQL, Open Source Technology, Software Engineering, Data Streaming, Privacy Controls, Kotlin, Build Tools, Bitcoin, Terraform - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-privacy-engineering-san-francisco-ca--3b6c2ffc-0e54-4344-920d-3e2b09f53ca5 ## About the Role Software Engineering, Artificial Intelligence (AI), Open Source, Bitcoin, Fellowship, Expense Management, Financial Systems, People Management, Data Analysis, Information/Data Security (InfoSec), You Have: * Minimum of 5 years of software engineering experience * Experience writing quality scalable, robust and testable code * Interest in learning new technologies or languages * Experience cutting across services, infrastructure, or frameworks in novel ways to achieve security and privacy goals Even Better: * Experience designing novel yet robust security or privacy architectures * Experience developing or maintaining services or processes to meet data governance needs * Experience designing novel ways to understand and surface data flow, access control, and risk * Experience explaining complex technical security or privacy concepts We use and teach: * Java, Kotlin * Linux, Terraform, AWS, MySQL ## Description The Privacy Engineering team was formed to build tools and provide guidance for engineering teams to collect, store, and analyze data responsibly. Security and privacy are closely linked, but where security focuses on the meta level of protecting data and assets as a whole, privacy zooms in to focus on the type of information collected, stored, and used, and how that information may violate expectations or breach trust. Privacy Engineering provides technology and abstraction layers to enable the employees at Block to do their job while being customer-centric and minimizing risks to the individual. Privacy Engineering aims to be a resource and enabler of responsible data use, not a gatekeeper. Our technological solutions are designed to make the most common data use cases easier for the employees at Block, but not to restrict or exclude uncommon data use cases that are responsible and compliant. We promote privacy enhancing technologies. Working with other teams within security, engineering, and legal, we set reasonable expectations for anyone looking to build systems or products at Block. As a Software Engineer on the team at Block, you will build internal products and infrastructure to protect Block's customers' privacy and collaborate with many teams across Block, including product engineering teams, privacy counsel, and teams within security and platform engineering. You will be fully remote and report to the Data Foundations Engineering Manager. You Will: * Design and develop services or infrastructure that support data privacy initiatives and consumer's privacy rights across Block's engineering ecosystem * Help define the technological future of privacy at Block * Collaborate with other engineering teams incorporating privacy engineering products into their engineered solutions * Provide mentorship and reviews for engineering teams working with privacy technologies * Contribute to the monitoring and stability of our team's existing engineering solutions, We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.