Principal Backend Software Engineer
Salesforce
- Location
- Israel - Tel Aviv
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 498 approvals (FY2023)
- Posted
- 14h ago
Skills
About this 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.
About the Role
Salesforce has immediate opportunities for software engineers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. As a Principal Member of Technical Staff (PMTS) at Salesforce, you will leverage deep expertise to lead the architectural design and technical implementation of critical, large-scale systems, ensuring they remain robust, efficient, and innovative. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone to grow into the best version of themselves.
Your Impact
Build and ship high-quality, production-grade backend 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 distributed systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context — an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance. Lead the end-to-end architecture, technical implementation, and scaling of critical backend and distributed systems, including the design and evolution of highly scalable APIs. Drive technical excellence and innovation across the organization by establishing high standards for code quality, performance, reliability, and security; championing best practices, advanced CI/CD pipelines, and emerging enterprise technologies. Mentor and inspire team members, fostering a culture of continuous learning and growth, while collaborating with cross-functional teams to align technical strategy with business outcomes. Identify and resolve systemic issues — performance bottlenecks, reliability gaps, and technical debt — with long-term, scalable solutions.
Required Qualifications
10+ years of experience in backend software development and large-scale system architecture. 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 development workflows Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Mastery of multiple programming languages and design patterns (e.g., Java, Python, Go, Node.js, Scala) and proven expertise designing