Software Engineer, Security
About the Role
Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day.
Your Role:
As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include:
- Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure
- Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption
- Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity
- Tool Integration: Pulling in new tools to enhance North's security capabilities
- DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC
- Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner
You may be a good fit if:
- Have 5+ years building user-facing security features in production systems
- Ship production Python confidently and frequently
- Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually
- Have hands-on experience with Kubernetes in both development and production environments
- Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments
- Are comfortable working across the stack
- Communicate security concepts clearly to non-security engineers and stakeholders
- Thrive in fast-moving environments where priorities evolve
- Experience working with AI/ML systems or LLM-based applications