Principal Software Engineer, Full Stack, Event Technology

Salesforce Salesforce · Enterprise · San Francisco, California - Palo Alto, Illinois - Chicago, New York - New York, Washington - Seattle, Indiana - Indianapolis, CA

Principal Software Engineer focused on architecture for Event Technology and public web experiences at Salesforce. The role involves defining technical vision, ensuring architectural integrity, and integrating AI tools into development workflows and human workflows. Responsibilities include building production-grade software with AI as a core part of the development process, designing systems for AI agent integration, contributing to shared system context for AI, evaluating code (human or AI-generated), leading architectural strategy, and planning scalable solutions. Requires strong software development, architecture, and AI fluency, with experience in service ownership, mentoring, and full-stack development on cloud platforms.

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 — 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 .
  5. Lead the architectural strategy and direction for the Event Technology and websites portfolio, ensuring alignment with Marketing Technology's overall technology vision and business goals.

Skills

Required

  • 10+ years of professional software development experience in designing, building, scaling, and maintaining production systems.
  • 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.
  • Proven experience leveraging AI tools (Claude, Cursor, etc.) in daily workflows and the ability to uplevel other engineers' usage of AI tools.
  • 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.
  • Proven experience in a technical leadership role, including architecture, design, and implementation of complex software systems.
  • Strong understanding and embodiment of service ownership principles; expertise in building observable and resilient systems with the ability to proactively prevent issues before customers notice.
  • Proven ability to mentor team members to support their understanding and growth of software engineering concepts and aid in their technical development.
  • Experience developing front-end and back-end software, preferably including JavaScript with TypeScript, with frameworks such as React, runtimes including Node.js, and CSS frameworks such as Tailwind or Sass.
  • Experience building high-scale microservices on AWS (preferred), GCP, or other public cloud substrates. Examples of AWS services we use include Lambda, DynamoDB, SNS, SQS, EventBridge, API Gateway, and more.
  • Expertise in consuming (and ideally building) GraphQL and RESTful APIs and strong understanding of API security best practices.

Nice to have

  • Knowledge of mobile and cross-platform/browser test automation.
  • Experience with Snowflake, Google Analytics, and configuring CDNs such as Akamai.
  • Proven ability to collaborate closely with cross-functional teams, including product managers, designers, and other engineering teams, to deliver exceptional user experiences.
  • Strong understanding of Agile methodologies: Scrum and Kanban.
  • Bachelor's or Master's in Computer Science, Technology, or equivalent experience.

What the JD emphasized

  • AI as a core part of your development workflow
  • AI fluency
  • AI tools
  • AI agents integrate seamlessly into human workflows
  • AI to operate accurately and reliably
  • AI-generated

Other signals

  • AI-first approach to engineering
  • Integrate AI tools into daily workflows
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows