Apply security principles and AI-assisted workflows to deliver technical solutions for end users and internal engineering teams.
Lead and deliver enhancements for the Data Security team that enforce security and privacy standards.
Design and implement customer data governance solutions supporting security and privacy by design.
Reconcile platform, security, and privacy requirements while building secure solutions for global engineering teams.
Collaborate with product engineering teams to integrate security and privacy practices into the microservice architecture.
Requirements
At least 2 years of software engineering experience.
Strong computer science and programming fundamentals.
Experience with system design and cloud infrastructure.
Experience with Golang and Python.
Knowledge of authentication, authorization, data security, privacy, and related best practices is preferred.
Understanding of distributed computing, the CAP theorem, and system design tradeoffs is preferred.
A BS degree in Computer Science or a related engineering field is preferred.
Excellent written and verbal communication skills.
Benefits
Remote-first work environment.
Opportunities to develop leadership skills by leading project areas regardless of title or level.
Abnormal Security
Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.