Senior​/Lead​/Principal Software Engineer, Agentforce Operations

What You'll Do

We are seeking a highly experienced Senior, Lead, and Principal Engineers to serve as a key individual contributor across the Super Agent and Integration & Platform teams. In this role, you will own the hardest cross‑cutting system problems, set technical direction, and drive foundational investments that enable Agentforce Operation to scale.

• Super Agent:
  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 the engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time.
• Integration & Platform:
  Architect and implement powerful integrations between the core platform and Salesforce ecosystem products, specifically Mulesoft and Flow.
• Lead the design and implementation of highly scalable, efficient, and reliable data export pipelines, integrating internal data sources with Salesforce Data Cloud and/or Informatica.
• Optimize existing ETL pipeline infrastructure to support a daily, self‑serve customer data synchronization mechanism with Data Cloud – fully automated, requiring minimal engineering involvement post‑setup.
• Design and build simplified, performant, customer‑facing APIs and webhooks, including an abstracted version of high‑value functionality currently exposed via complex Graph
  
  QL endpoints.

• Architect, design, and deliver high‑quality, scalable code for complex data integration and platform features.
• Drive technical decision‑making and project execution as the primary individual contributor for key initiatives.
• Conduct thorough code reviews and mentor engineers on best practices for performance, security, and scalability.
• Collaborate cross‑functionally with Product Management and other engineering teams to define requirements and deliver solutions that meet business needs.
• Build and ship production‑grade software using modern engineering practices, with AI as a core part of your development workflow.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows.
• Contribute to building and maintaining 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.
• Mentor engineers as a senior peer and force multiplier, helping shape stronger engineering judgment and a higher‑performing team.

• Set the technical direction and standards for data integration, ETL processes, and backend architecture across the platform.
• Identify and mitigate architectural risks associated with scaling our data infrastructure to support exponential customer growth.
• Drive continuous improvement in system performance, observability, and operational efficiency.

• 3+ years (Senior), 5+ years (Lead), 8+ years (Principal) of industry experience as a backend engineer, building and operating large‑scale, user‑facing web applications and/or data systems.
• A related technical degree required.
• Deep expertise in multiple areas of backend engineering: data modeling, DB performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling.
• Demonstrated expertise in designing, building, and maintaining production‑grade data pipelines (ETL/ELT).
• Expert‑level proficiency in at least one modern programming language (e.g., Java, Python, Go).
• Proven experience designing and implementing robust, external‑facing REST APIs and Webhooks.
• Deep practical knowledge of distributed systems, high‑availability architectures, event queues, and asynchronous task processing.
• Track…