Sr./lead Software Engineer, Enterprise Pki

Salesforce Salesforce · Enterprise · San Francisco, CA +2

Salesforce is seeking a Senior or Lead Software Engineer for their Enterprise Security Technology team, focusing on Public Key Infrastructure (PKI). The role involves designing, developing, automating, and supporting PKI and certificate lifecycle management. While the core function is PKI engineering, the posting emphasizes a strong AI-first approach to development, using AI tools for code generation, prompt engineering, and evaluating AI-generated code, integrating AI agents into workflows, and contributing to shared system context for AI reliability. The role is within the Enterprise Security Technology team, which builds scalable security software.

What you'd actually do

  1. Contribute to the Design, implementation, development, deployment, configuration, and enhancement of EJBCA-based PKI infrastructure, including CA hierarchies, RA functions, OCSP responders, and CRL distribution.
  2. Define the technical roadmap for certificate lifecycle automation, secure key management, and high-assurance identity use cases.
  3. Develop and maintain certificate lifecycle automation, including provisioning, renewal, revocation, monitoring, and audit logging.
  4. Support internal stakeholders with certificate enrollment workflows (SCEP, EST, ACME, CMP) and usage patterns.
  5. Help integrate certificate-based authentication into enterprise platforms, services, and workloads.

Skills

Required

  • 5+ years of hands-on experience in PKI systems, including EJBCA or similar CA/RA platforms.
  • 8+ years of experience with scripting or programming languages (e.g., Python, Golang, Java)
  • Strong understanding of X.509 certificates, CRLs, OCSP, certificate templates, trust chains and key usage extensions.
  • Experience with enrollment protocols such as SCEP, EST, ACME, or CMP.
  • Familiarity with certificate lifecycle automation, workflows or CLM platforms and APIs
  • Familiarity with HSM integration, key escrow, and secure enclaves.
  • Understanding of PKI use cases for TLS/mTLS, device identity, Wi-Fi/EAP, VPN, code signing, workload identity, etc.
  • Proficiency with Linux environments and version control systems (e.g., Git).
  • Familiarity with cloud environments (AWS) and how PKI integrates with cloud services.
  • Solid understanding of DevOps practices, CI/CD, monitoring, and ownership of production systems.
  • A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or equivalent experience.

Nice to have

  • Experience with hardware-backed security mechanisms such as TPM, HSM, or secure enclaves.
  • Experience with PKI in Kubernetes or service mesh environments (e.g., Istio, SPIRE, cert-manager).
  • Exposure to device attestation, platform security, or Secure Boot concepts.
  • Familiarity with relevant security frameworks or compliance standards (e.g., NIST, ISO, SOC 2).
  • Awareness of common security weaknesses (OWASP Top 10, CWE Top 25).
  • General understanding of core security concepts such as

What the JD emphasized

  • Enterprise grade Public Key Infrastructure (PKI) technologies
  • EJBCA-based PKI infrastructure
  • certificate lifecycle automation
  • secure key management
  • high-assurance identity use cases
  • AI-first approach to engineering
  • Advanced prompt engineering skills