Senior / Lead Software Engineer - Database/distributed Storage Engineering

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Salesforce is seeking a Senior/Lead Software Engineer for their Database/Distributed Storage Engineering team. The role involves designing and implementing scalable, resilient, and fault-tolerant transactional and distributed systems. A key aspect of the role is leveraging AI tools and prompt engineering within the development workflow to enhance code quality, security, and performance, and to design systems where AI agents integrate into human workflows. The engineer will also contribute to maintaining system context for AI reliability and critically evaluate code, including AI-generated code.

What you'd actually do

  1. Build and ship high-quality, production-grade software using modern engineering practices, 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.
  2. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  3. 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.
  4. Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

Skills

Required

  • 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.
  • Experience designing, developing scalable, resilient and fault tolerant transactional and distributed systems in enterprise production environments
  • Highly skilled in Java or C in a Unix/ Linux Environment, with an understanding of modern object-oriented programming techniques and design patterns
  • Experience using telemetry and metrics to drive operational excellence
  • Ability to learn quickly and deliver high quality code in a fast-paced, dynamic team environment
  • A meticulous and detailed oriented engineer, responsible for writing one’s own functional and unit tests and help review and test teammates' code
  • Familiar with Agile development methodology and committed to continual improvement of team performance
  • Effective communication, strong leadership skills, team player who is capable of mentoring and being mentored by others
  • Inventive and creative; on task and able to deliver incrementally and on time
  • 5-9+ years of professional experience, or a M.Sc. in a relevant academic field and 3-7+ years of professional experience.
  • Experience with relational databases and or distributed storage, GCP is a big plus.

Nice to 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.
  • 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.

What the JD emphasized

  • AI as a core part of your development workflow
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance