Principal Full-Stack Engineer - AI-Driven Observability

salesforce.com, inc.

San Francisco (CA)

On-site

USD 197,000 - 314,000

Full time

14 days+

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Job summary

Salesforce is seeking an experienced Software Engineer to join the Trusted Services/Event Monitoring team in San Francisco. You will help design and deliver a scalable, AI-first observability platform, partnering with product, design, and data engineering to ship reliable features.

You’ll mentor engineers, drive architecture decisions, and champion responsible AI use across the development lifecycle, from code generation to review and testing, ensuring high performance, security, and operational

Qualifications

  • 10+ years of software engineering experience.
  • 3+ years in a technical leadership or principal-level role.
  • Strong Java API design and frontend experience with React or LWC.

Responsibilities

  • Collaborate with Product Management to align architectural decisions.
  • Lead technical design and end-to-end delivery of features from architecture to production.
  • Drive cross-team alignment on data ingestion, query performance, and cost boundaries.
  • Define how Unified Observability integrates with telemetry sources and standards.
  • Use AI tools for coding, refactoring, test authoring, code review, and investigation; model best practices.
  • Mentor engineers and raise the engineering bar across the team.
  • Shape team practices, hiring, and engineering culture as the team scales.

Skills

Software engineering
Technical leadership
Java
OpenTelemetry
Kafka
React
AI-assisted engineering
Mentoring

Tools

Claude Code
OpenTelemetry tooling

Job description

Salesforce is seeking an experienced Software Engineer to join the Trusted Services/Event Monitoring team in San Francisco. You will help design and deliver a scalable, AI-first observability platform, partnering with product, design, and data engineering to ship reliable features.

You’ll mentor engineers, drive architecture decisions, and champion responsible AI use across the development lifecycle, from code generation to review and testing, ensuring high performance, security, and operational

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