Principal Software Engineer, Full Stack; Observability

Software Engineering
About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

At Salesforce, trust is our #1 value, and the Trusted Services organization builds the security, resilience, and data governance capabilities that thousands of customers rely on every day. Our Event Monitoring team is building on its deep foundation in event data to deliver a single, coherent platform for metrics, logs, and traces across Salesforce. Our charter is to give customers one place to troubleshoot and reason about behavior across multiple services.

You'll be joining an established team as it takes on a major new initiative, with room to shape the architecture, the data model, the customer experience, and how the team evolves.

Unified Observability is being built with an AI-first engineering strategy. AI assistants are core to how we design, write, review, test, and operate our software. Engineers on this team are expected to:

• Use AI coding assistants throughout the development lifecycle: scaffolding services, generating tests, drafting migrations, reviewing diffs, and debugging production issues.
• Drive design conversations with AI in the loop - exploring tradeoffs, generating alternatives, and stress-testing assumptions before committing to an approach.
• Build internal tooling and agents that automate repetitive engineering work (PR triage, on-call runbooks, log analysis, capacity planning).
• Develop strong judgment about when to lean on AI and when to slow down - verifying generated code, catching subtle hallucinations, and owning the final result.
• Share patterns, prompts, and workflows that make the rest of the team faster.

• Work closely with Product Management to align and steer cross-functional architectural decisions.
• Lead the technical design and end-to-end delivery of features, from architecture to production operation.
• Drive cross-team alignment with partners on data ingestion, query performance, and cost boundaries.
• Define how Unified Observability cleanly integrates with existing products and telemetry sources: instrumentation standards, data onboarding, access control, and a graceful path from per-team tooling to a shared platform.
• Use AI tools throughout your day, for code generation, refactoring, test authoring, code review, and investigation. We expect AI use to be part of how the work gets done, not an afterthought, and we look to senior engineers to model what great AI-assisted engineering looks like.
• Raise the engineering bar across the team through technical mentorship, design reviews, and clear written communication.
• Help shape team practices, hiring, and engineering culture as the team scales.

• 10+ years of software engineering experience, with 3+ years in a technical leadership or principal-level role.
• Hands-on experience with Claude Code or similar agentic coding environments.
• Comfort using AI assistants in your engineering workflow, with judgment about where they accelerate the work and where careful human review is still essential.
• Ability to decompose product requirements into parallel engineering work streams and drive execution across a small team.
• Full-stack…