Senior Software Engineer

About the role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Software Engineering

Job Details

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.

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.

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).