Software Engineering SMTS, Salesforce

• You have 5+ years of software engineering experience with strong backend development skills in Java, or another object-oriented, compiled, statically-typed language (C++, C#)
• You have 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, including experience with AI coding tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor)
• You have experience with distributed systems, cloud infrastructure (AWS or GCP), scalable system architecture, and working with APIs (e.g., REST)
• You bring strong test-driven development practices and can support and resolve production issues through solid debugging and problem-solving skills
• A related technical degree required

Desirable

• Build, scale, and maintain critical Einstein Platform features that power AI-driven experiences for millions of Salesforce customers, with a focus on performance, scalability, and future expansion
• Build and ship high-quality, production-grade software using modern engineering practices, 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 across a microservice, multi-tenant SaaS environment
• Contribute to all phases of the SDLC — design, implementation, code reviews, testing, and automation — while mentoring engineers and helping shape technical direction