- 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

Advantages

- Medical Care

- Life Insurance

- Retirement Savings

- Employee Assistance Programs
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- Willingness to participate in the team’s on-call rotation to address complex problems in real time and keep services operational and highly available

- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows

- 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 with Spring, gRPC, REST, and the HTTP protocol

- Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc

- Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
- A related technical degree, or equivalent practical experience, required

- 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

- 5+ years of backend software development experience

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

- Office-Flex: 10 days per quarter

📌 Software Engineer (LMTS) (Vancouver)
🏢 Salesforce
📍 Vancouver