Senior Software Engineer

Description

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.

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.

Your Impact

As an engineer, your job responsibilities will include:

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.

Required Skills:

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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.