Airbnb Senior Software Engineer Data Security 

United States 

153408678

A Typical Day:

• Design and build scalable systems for identifying and protecting sensitive and personal data in various formats (relational and non-relational databases, cloud storage, structured and unstructured data). Enhance existing end-to-end data classification workflows using Regex patterns, and build new data classification and protection methods with advanced machine learning.
• Integrate AI/ML into security practices to enhance contextual awareness and efficiency. For example, utilize LLMs for advanced data discovery, classification, and incident response.
• Implement strong access controls, data minimization, data encryption, and masking to safeguard sensitive data and facilitate responsible AI/ML initiatives.
• Collaborate with Data Governance to design and build complex back-end architecture that is performant and scalable, providing a deep understanding of the risks associated with all Airbnb data, including data ownership, access, and lineage.
• Design and enforce controls to prevent data leakage across various platforms. Automate security enforcement at scale, collaborate with data platform teams and product teams for data governance best practice.

Other highly relevant work include

• Developing and maintaining a platform to manage third-party vendors integrated with Airbnb, ensuring visibility and protection of user data shared with these vendors.
• Building and scaling data infrastructure using AWS cloud technologies, with a focus on expanding Data Loss Prevention (DLP) coverage across AWS-Corp, Azure, GCP, and OCI.
• Partnering with security teams, privacy engineering, data management, and data governance to maintain compliance with data protection regulations.
• Addressing and resolving data security and infrastructure-related issues.
• Support security incident response.

Check out project examples in technical blogs:

Your Expertise:

• 5+ years of software development or job-related work experience.
• Proficiency in one of the programming languages Java, Kotlin, or Python.
• Working knowledge of cloud computing (AWS, GCP, or Azure).
• Proficiency in one or more of the following domains is required: Generalist Backend, Data Engineering, Machine Learning, or Security Engineering with a focus on development.
• Knowledge of data classification, encryption, and compliance frameworks.
• Experience in a highly collaborative environment, enabling other engineers to develop secure products by default without requiring specialized security expertise.

Nice to Haves

• Machine Learning, AI/LLM experience preferred
• Prior experience in data loss prevention or related security fields.
• Prior experience with Airflow.
• Significant experience in building robust internal products/tools or production backend services at scale.
• Defensive security experience, shipping projects that mitigate application or infrastructure risks at scale.

Offices: United States