Software Engineering LMTS

Role overview

What you'll do

• Develop backend services, APIs, event-driven workflows, and frontend experiences for an enterprise-scale, multi-tenant product.
• Process conversation and transcript data while designing for security, privacy, compliance, data residency, observability, and operational readiness.
• Apply test-driven development, CI/CD, production monitoring, incident diagnosis, code reviews, and reliability improvements.
• Use AI development tools and document system context, architecture decisions, standards, and runbooks.
• Collaborate across product, design, security, privacy, site reliability, and partner engineering teams.

What you bring

• Related technical degree or equivalent practical experience; at least 8 years of backend software development experience.
• Deep object-oriented programming knowledge and experience with one or more listed languages, including Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript.
• Knowledge of web standards and APIs, including REST, SOAP, XML, WSDL, HTTP, and JSON; experience with Spring, gRPC, REST, and HTTP.
• Agile development experience and an AI-first approach, including experience using AI tools in development workflows.
• Advanced prompt-engineering skills for producing reliable, secure, production-ready AI outputs.
• Willingness to participate in the team's on-call rotation.

Additional advantage

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

Workplace

• Salesforce describes its work model as hybrid; the role specifies Office-Flex attendance of 10 days per quarter.

Compensation

• For British Columbia-based roles, the stated base salary hiring range is CAD 154,700 to CAD 212,800; no pay cadence is specified.