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Senior Manager, Software Engineering - Authentication Platform

Salesforce
Washington, USA
Full-time
Senior · 13+ years experience
Discovered Yesterday
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  • 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 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.

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