Software Engineering LMTS

Description

The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our work easier. We embrace the hybrid model and celebrate the individual strengths of each team member while helping everyone on the team grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions empower individuals, the product, the company, and the customers we serve to thrive.

Your Impact

• Design, build, test, and operate capabilities across the Momentum product, from meeting capture and recording through transcript processing, insight generation, and customer-facing experiences.
• Develop robust backend services, APIs, and event-driven workflows that perform reliably at enterprise scale in a multi-tenant environment.
• Contribute to frontend experiences using modern JavaScript and component-based frameworks, including Lightning Web Components where applicable.
• Process and manage high-volume conversation, recording, transcript, and insight data securely and efficiently.
• Design for security, privacy, compliance, data residency, observability, and operational readiness from the beginning.
• Apply test-driven development practices and contribute to unit, integration, functional, performance, and end-to-end test coverage.
• Use CI/CD tooling and modern engineering practices to safely deliver production-grade software.
• Monitor production behavior, diagnose complex distributed-system failures, and improve system reliability and supportability.
• Participate in architecture and code reviews, critically evaluating human- and AI-generated code for correctness, maintainability, security, accessibility, and performance.
• Use AI development tools such as Claude Code, GitHub Copilot, Codex, or Cursor to improve development velocity, testing, debugging, and documentation.
• Create clear system context, including architecture decisions, operational constraints, coding standards, and runbooks, so both engineers and AI-assisted workflows can operate effectively.
• Collaborate with Product, Design, Security, Privacy, Site Reliability, and partner engineering teams to deliver trusted customer outcomes.

Required Skills

• A related technical degree, or equivalent practical experience, required
• 8+ years of backend software development experience
• Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
• Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, JSON, etc.
• Experience with Spring, gRPC, REST, and the protocol
• Experience with Agile development methodology
• 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
• Willingness to participate in the team's on-call rotation to address complex problems in real time and keep services operational and highly available
• Office-Flex: 10 days per quarter

Preferred Skills

• Experience with conversation intelligence, audio or video recording, transcription, media processing, or meeting-platform integrations