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Abnormal AI is seeking a Software Engineer II to join the Data Security team, focusing on protecting customer data through rigorous security and privacy standards. You will design, develop, and refine platform solutions that enforce authentication, authorization, and auditability (AAA) principles, ensuring all customer data access is properly verified, appropriately permitted, and comprehensively logged.
Key responsibilities include applying practical security principles and AI-native workflows to deliver technical solutions to end users and internal partner teams. You will lead and deliver impactful enhancements for the Data Security team, enforcing security and privacy standards to support ongoing product and market expansion. The role involves designing and implementing customer data governance solutions that enable security and privacy by design, and reconciling platform, security, and privacy requirements to build a secure platform that empowers global engineering teams to deliver high-quality software at high velocity.
You will collaborate cross-functionally with product engineering teams to seamlessly integrate security and privacy best practices into the microservice architecture, eliminating implementation overhead for development teams. Every team member is expected to lead within their project areas, providing an opportunity to flex and develop leadership skills.
Required qualifications include 2+ years of software engineering experience, strong computer science and programming fundamentals, experience with system design and cloud infrastructure, and proficiency in Golang and Python. Excellent written and verbal communication skills are essential, as the team operates remotely and clear communication is critical to smooth operations.
Nice-to-have qualifications include knowledge of authentication, authorization, and data security/privacy problem spaces and best practices; understanding of distributed computing, CAP theorem, and system design tradeoffs; and a BS degree in Computer Science or a related engineering field.
