Senior Manager, Software Engineering - Authentication Platform

• Drive the strategy and execution for the Authentication Platform, ensuring these foundational services scale horizontally across diverse environments.
• Provide technical leadership across a diverse protocol stack, from Kerberos and Lightweight Directory Access Protocol (LDAP) to modern WebAuthn/FIDO2 and TOTP implementations.
• Guarantee the reliability of services that are foundational dependencies for the entire company, targeting high availability standards.
• Partner with security architects to implement Zero Trust principles, ensuring the platform enforces strict adherence to least privilege and robust identity verification.
• Develop each engineer's ability to work effectively in an AI-augmented environment, moving beyond tracking output to actively coaching growth into higher-level system design and architecture work.
• Own how AI tools are integrated into the team's daily development cycle, including configuration, feedback loops, and the judgment calls about when human review is required to validate output.
• Serve as the guardian of architectural integrity, security best practices, and technical standards as AI increases code volume, coaching engineers to critically audit AI-generated code for logic flaws, vulnerabilities, and performance issues.

You're Our Person If...

• You have 13+ years of software engineering experience, including 3-5 years leading teams in high-pressure, infrastructure-centric environments.
• You have proven expertise in Kerberos and identity protocols such as Security Assertion Markup Language (SAML), OpenID Connect (OIDC), and LDAP.
• You have experience managing systems with massive throughput and high-availability requirements in public cloud (AWS/GCP) or hybrid environments.
• You're familiar with Java, Go, or C#, and have experience with container orchestration (Kubernetes) and modern continuous integration/continuous deployment (CI/CD) pipelines.
• You have active, hands-on proficiency with AI development tools; full utilization is the baseline expectation, along with deep technical expertise sufficient to evaluate architectural integrity and make informed decisions about AI-generated output.
• You have experience assessing candidates on their ability to formulate effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows in addition to foundational technical skills.

• You have experience building or maintaining enterprise-grade Identity Providers (IdP) or Multi-Factor Authentication (MFA) platforms.
• You understand hardware security modules (HSMs), public key infrastructure (PKI), and secure credential storage.
• You have knowledge of how authentication systems meet Payment Card Industry (PCI), SOC2, or Health Insurance Portability and Accountability Act (HIPAA) requirements.
• You have experience managing on-call rotations for high-visibility production services, and a track record of hiring and growing senior engineering talent.