About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Agentforce is the future of AI.
The Experience
Salesforce Trust Platform provides 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, the team makes every layer of technology secure-by-default — making it extremely hard to attack Salesforce, misconfigure Salesforce, or introduce security bugs at Salesforce. The team scales zero-trust, always-available infrastructure for the most mission-critical enterprise workloads in the world, and multiplies its impact with AI, using agents and automation to achieve auto-containment and time-to-recover targets 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, 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.
You're Our Person If...
•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.
•Office-Flex: work in-person three days per week; or 10 days per quarter for some engineering teams.
Even Better If...
•Experience with TypeScript (Node) and/or Python service development is a strong plus.
Compensation
At Salesforce, compensation reflects equitable practices that account for the dynamic nature of labor markets across regions. The typical base salary range for this position is $117,200 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity, or benefits, as applicable.
