Salesforce
GTMA Trust - Principal Full-Stack Software Engineer – PMTS
$197K–$345K
California - San Francisco · Office Tech-Flexible · Principal · Full-time · Posted Oct 12, 2026
- Experience
- 8+ years of professional software development experience.
- Education
- A related technical degree, or equivalent experience.
About the job
Sets technical direction and leads reliability, incident response, data integrity, and AI-enabled engineering practices for Salesforce’s Digital Wallet billing and usage platform.
What you'll do
- Resolve complex production issues and lead systemic fixes across provisioning, billing/usage pipelines, and data reconciliation.
- Set service-health, monitoring, rollout, testing, and production-change strategies; serve as an escalation lead during incidents.
- Mentor engineers, guide technical roadmaps and standards, and lead adoption of agentic engineering practices across the SDLC.
What they ask for
- Related technical degree or equivalent experience.
- 8+ years of professional software development experience, with technical leadership beyond individual contributions.
- Expertise in an object-oriented programming language; high proficiency in a high-level language and web framework; understanding of web technologies.
- Experience designing system- or team-level observability strategy, database solutions at scale, and automated testing strategy; hands-on proficiency with agentic coding tools across the SDLC.
Nice to have
- Experience building scalable, self-healing web applications and services, and leading phased production rollouts.
- Experience with Agile software development and test-driven development.
Pay
$197,300 - $313,700 annually (base salary); $237,700 - $344,700 annually (base salary)
Tools
Java, JavaScript, C++, C#, Ruby, Python, NodeJS, Express
AI focus
Leads team-wide adoption of AI-native and agentic engineering, including AI-assisted root-cause analysis, reusable skills/plugins, SDLC orchestration, and safe automation of manual tasks. The posting also says Salesforce uses AI tools to help assess candidates’ resumes and qualifications; humans make hiring decisions.
Model-written summary · the original posting is authoritative