Drimva

Salesforce

JR354749 Lead Software Engineer, PKI & Cryptographic Trust Services

$172K–$286K

California - San Francisco +1 · Office Tech-Flexible · Full-time · Posted Sep 1, 2026

Location
California - San Francisco
Washington - Bellevue
Experience
9+ years
Education
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

About the job

Leads the design, development, and operation of Salesforce’s global certificate Registration Authority, securing certificate issuance and cryptographic trust across its multi-cloud platform.

What you'll do

  • Architect and build the unified Registration Authority and synchronous and asynchronous certificate issuance systems.
  • Develop resilient, observable services and certificate lifecycle automation across cloud environments.
  • Mentor engineers, guide system design, and establish AI-augmented engineering practices.

What they ask for

  • 9+ years of professional software development experience, including designing and operating large-scale distributed systems.
  • Production-grade expertise in Go (Golang), Java, or Rust, including concurrency and memory management.
  • Experience operating highly available services on public cloud providers and designing RESTful and gRPC services.
  • Experience with observability and CI/CD; proficiency with AI coding assistants, prompt engineering, and shared-context workflows.

Nice to have

  • Knowledge of PKI, X.509, mTLS, certificate lifecycle management, or post-quantum cryptography.
  • Experience with Kubernetes, Infrastructure-as-Code, or multi-tenant policy engines.

Pay

$172,500 - $260,100 annually (base salary); $207,800 - $285,800 annually (base salary)

Tools

Go, Java, Rust, Amazon Web Services (AWS), Google Cloud Platform (GCP), RESTful, gRPC, Kubernetes

AI focus

Uses AI coding assistants, prompt engineering, and shared system context in development, code review, and test generation; establishes AI-augmented engineering practices and designs systems integrating AI agents into human workflows.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)