Principal Backend Engineer, Agentforce for Supply Chain

Salesforce Salesforce · Enterprise · New York, NY +2

Principal Backend Engineer for Salesforce's Agentforce for Supply Chain, focusing on the Super Agent backend. This role involves diagnosing and solving complex architectural problems, improving system quality, and designing/orchestrating AI agent integrations into supply chain workflows. The goal is to build a '0 to 1' product at scale, leveraging Salesforce's infrastructure.

What you'd actually do

  1. Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery
  2. Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it
  3. Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence
  4. Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time
  5. Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality

Skills

Required

  • 8+ years of industry experience as a backend engineer, building and operating large-scale, user-facing web applications
  • Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling, with the ability to pick up new technologies quickly
  • Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving solutions that deliver measurable improvement over time
  • Experience designing and improving interfaces and boundaries between teams and systems
  • Excellent writing skills and ability to lead real

Nice to have

  • 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
  • Contribute to building and maintaining the shared system context
  • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

What the JD emphasized

  • own the hardest problems
  • hardest cross-cutting system problems
  • tight coupling, limited observability, and reliability gaps

Other signals

  • AI-powered platform for designing, automating, and orchestrating end-to-end business processes
  • AI agents integrate seamlessly into human workflows
  • building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably