Design and implement customer data governance solutions that support security and privacy by design.
Build and refine platform solutions enforcing authentication, authorization, and comprehensive auditability.
Deliver security and privacy enhancements for the Data Security team and support product and market expansion.
Reconcile platform, security, and privacy requirements to enable global engineering teams to build high-quality software efficiently.
Apply practical security principles and AI-native workflows to support end users and internal partner teams.
Collaborate with product engineering teams to integrate security and privacy practices into the microservice architecture.
Requirements
At least 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.
Strong written and verbal communication skills.
Knowledge of authentication, authorization, and data security or privacy 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.
Benefits
Remote-first work environment.
Potential eligibility for bonus or incentive compensation, equity, and a comprehensive benefits package.
Successful candidates must complete required pre-employment checks before receiving a final offer.
Salary: $149k - $215k/yr
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.