Senior Software Engineer

The Experience

Salesforce Trust Platform, providing foundational security, availability, compliance, and resilience for the Agentic Enterprise. From the hardware-backed Root-of-Trust to application guardrails for administrators, end users, and ISVs, we make every layer of technology secure-by-default. We make it extremely hard to attack Salesforce, misconfigure Salesforce, or introduce security bugs at Salesforce. We scale our zero-trust, always available infrastructure for the most mission-critical enterprise workloads of the world. We multiply our impact with AI. We use agents and automation to achieve auto-containment and time-to-recover targets that are only possible without human-in-the-loop.

What You'll Actually Be Doing

• Build and ship high-quality, production-grade software ,with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Architect and maintain resilient backend services integrating Large Language Models (LLMs) via external APIs, while implementing robust observability frameworks (logs, metrics, traces) to monitor long-running AI jobs.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
• Develop test automation and quality tooling, focusing on unit/CI test generation, test failure analysis, and flake awareness.

The ideal candidate will be:

• 4+ years of professional Java development experience.
• 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 active development workflows.
• Ability to design, iterate on, and test system and user prompts that produce structured, parseable LLM outputs (JSON classification, multi-field extraction).
• Designing and consuming RESTful APIs alongside working knowledge of AWS (S3, STS, KMS, Lambda, DynamoDB).
• Experience with Bazel or Maven and a strong willingness to work in a monorepo.
• Experience with Jenkins or equivalent CI/CD pipelines, Docker image creation, and container operations.
• Experience with TypeScript (Node) and/or Python service development is a strong plus.
• Office-Flex: work in-person three days per week; or 10 days per quarter for some engineering teams.