Principal Backend Engineer, Agentforce for Supply Chain

Salesforce•New York City, NY

About The Position

Salesforce is seeking a Principal Backend Engineer for the Agentforce for Supply Chain – Super Agent team. This role is the most senior technical individual contributor on the team's backend, responsible for diagnosing and prioritizing foundational investments, and owning complex problems that span across team and domain boundaries. The Super Agent backend manages complex state transitions and interfaces with other teams within Agentforce Supply Chain. The role involves tackling system challenges such as decomposing coupled domains, hardening state transitions, and designing cross-team boundaries, while also contributing to strategic investment planning. The position offers significant autonomy and opportunities for advancement by improving system quality, mentoring engineers, and accelerating team goals. The role emphasizes an AI-first approach to engineering, leveraging AI tools to enhance development workflows and contribute beyond core specialties.

Requirements

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-time technical-design discussions.
Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment.
Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration.
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.

Nice To Haves

B.S. in Computer Science (M.S. preferred)
Notable open-source work, patents, or published research
Mastery of Golang, Graphql, and PSQL
Exposure to the supply chain, logistics, or manufacturing industry (We will teach you otherwise!)
Familiarity with the Salesforce platform
Experience working within rapidly evolving systems, balancing early-stage ambiguity with scaling, reliability, and maintainability concerns
Experience with workflow engines

Responsibilities

Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery.
Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it.
Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence.
Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time.
Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality.
Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team.
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.
Design and orchestrate complex 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.