Software Engineering LMTS

Role overview

Your impact

• Design, build, test, and operate Momentum capabilities from meeting capture and recording through transcript processing, insight generation, and customer-facing experiences.
• Develop robust backend services, APIs, and event-driven workflows for enterprise-scale, multi-tenant environments.
• Contribute to frontend experiences with modern JavaScript and component-based frameworks, including Lightning Web Components where applicable.
• Securely and efficiently manage high-volume conversation, recording, transcript, and insight data.
• Design for security, privacy, compliance, data residency, observability, and operational readiness.
• Apply test-driven development and contribute to unit, integration, functional, performance, and end-to-end test coverage.
• Use CI/CD and modern engineering practices to deliver production-grade software safely.
• Monitor production behavior, diagnose distributed-system failures, and improve reliability and supportability.
• Review architecture and human- and AI-generated code for correctness, maintainability, security, accessibility, and performance.
• Use AI development tools to improve development, testing, debugging, and documentation.
• Create architecture context, operational constraints, coding standards, and runbooks for engineers and AI-assisted workflows.
• Collaborate with Product, Design, Security, Privacy, Site Reliability, and partner engineering teams.

Required skills and experience

• A related technical degree or equivalent practical experience is required.
• At least 8 years of backend software development experience.
• Deep knowledge of an object-oriented language such as Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript.
• Broad knowledge of API-related web standards, including REST, SOAP, XML, WSDL, HTTP, and JSON.
• Experience with Spring, gRPC, REST, HTTP, and Agile development methodology.
• A genuine AI-first approach to engineering and experience using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor.
• Advanced prompt engineering skills, including precise structured prompts and system context for reliable, secure, production-ready AI outputs.
• Willingness to join the team's on-call rotation.

Preferred skills

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

Work arrangement

• Office-Flex arrangement: 10 days per quarter.