What we are seeking:

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
• Strong software engineering skills with security expertise, with 5+ years of production experience and proficiency in programming languages such as Python, Java, or C/C++.
• Deep understanding of cybersecurity principles, practices, and technologies.
• Experience implementing security features in production systems, including auth systems (e.g., SSO, RBAC, OAuth), encryption, and secure APIs.
• Familiarity with Kubernetes security concepts (e.g., network policies, secrets management) and security features of at least one major cloud platform (GCP, AWS, or Azure).
• Proven ability to work effectively in an engineering team environment with code reviews, testing, and CI/CD practices.
• Track record of delivering product features in fast-paced environments.
• Knowledge of compliance control requirements and security frameworks (e.g., SOC 2, ISO 27001, NIST 800-53).

Equal Opportunity: Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.