Senior/Lead/Principal Software Engineer (Agentforce Operations)

Join our team as a Senior, Lead, or Principal Software Engineer, where you will play a crucial role in driving technical direction and foundational investments for Agentforce Operations. You will diagnose and prioritize impactful investments, own cross-cutting system problems, and build shared understanding of system health. Additionally, you will architect and deliver high-quality, scalable code, mentor engineers, and collaborate cross-functionally to meet business needs.

• Diagnose and prioritize 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.
• Drive technical decision-making and project execution as the primary individual contributor for key initiatives, conducting thorough code reviews and mentoring engineers on best practices.
• Experience in a lead technical role (LMTS/PMTS level or equivalent), driving and owning complex projects as an individual contributor
• Proven experience designing and implementing robust, external-facing REST APIs and Webhooks
• Expert-level proficiency in at least one modern programming language (e.g., Java, Python, Go) suitable for platform development
• Excellent written and verbal communication skills, with the ability to lead real-time technical design discussions
• Demonstrated ownership and accountability, with a consistent track record of high standards and low-ego collaboration
• Deep practical knowledge of distributed systems, high-availability architectures, event queues, and asynchronous task processing
• 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
• Demonstrated expertise in designing, building, and maintaining production-grade data pipelines (ETL/ELT)
• Experience designing and improving interfaces and boundaries between teams and systems
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Deep expertise in multiple areas of backend engineering: data modeling, DB performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling
• 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
• Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment
• Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving measurable improvement over time
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate system context that makes AI outputs reliable, secure, and production-ready
• Notable open-source contributions, patents, or published research
• Familiarity with the Salesforce platform
• Experience working within rapidly evolving systems, balancing early-stage ambiguity with scaling, reliability, and maintainability concerns
• Exposure to the supply chain, logistics, or manufacturing industry
• Experience with workflow engines
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience designing or working with GraphQL API implementations
• Hands-on experience with Salesforce integration technologies such as Mulesoft or Salesforce Data Cloud
• Experience working with large-scale event streaming platforms (e.g., Kafka, Kinesis)
• B.S. in Computer Science (M.S. preferred)
• Mastery of Golang, GraphQL, and PostgreSQL