Software Engineer II - Data Security

Abnormal

7h•$149,200 - $214,500•Remote

About The Position

Abnormal AI is seeking a Software Engineer II with a strong interest in security and privacy to join the Data Security team. In this role, you will help protect customer data by implementing rigorous security and privacy standards along with robust governance practices. You will design, develop, and refine platform solutions that enforce strict authentication, authorization, and auditability (AAA) principles, ensuring all customer data access is properly verified, appropriately permitted, and comprehensively logged. A practical security mindset: The ability to identify and address security vulnerabilities across the entire software development and operations lifecycle. The ability to break down security and privacy challenges into practical technical solutions and lead their successful implementation. Skill and passion for leveraging AI-native approaches to enhance team workflows and engineering practices. The opportunity to collaborate cross-functionally with product engineering teams to seamlessly integrate security and privacy best practices into our microservice architecture, eliminating implementation overhead for development teams. The opportunity to flex and develop your leadership skills. Every member of the team is expected to lead within their project areas, regardless of level or title.

Requirements

Excellent written and verbal communication skills (this isn’t “just another bullet point” on a job description; as a remote-first team and company, clear communication is essential to operating smoothly).
2+ years of experience as a software engineer.
Strong computer science and programming fundamentals.
Experience with system design and cloud infrastructure.
Experience with Golang and Python programming languages.

Nice To Haves

Knowledge of authentication, authorization, and data security/privacy problem spaces, best practices, and related technologies.
Understanding of distributed computing, CAP theorem, and system design tradeoffs.
BS degree in Computer Science or a related engineering field.

Responsibilities

Apply practical security principles and AI-native workflows to deliver technical solutions to end users as well as provide leverage for internal partner teams.
Lead and deliver impactful enhancements for the Data Security team, enforcing security and privacy standards to support ongoing product and market expansion.
Design and implement customer data governance solutions that enable security and privacy by design.
Reconcile platform, security, and privacy requirements, building a secure platform that empowers global engineering teams to deliver high quality software at high velocity.