Software Engineering LMTS

Leadout Capital; Vancouver; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Office-Flex: 10 days per quarter

Job summary

Salesforce seeks a seasoned software engineer to design, implement, and test backend systems, with an emphasis on AI-first engineering and prompt-driven context. You will build scalable services, APIs, and event-driven workflows, while collaborating across product, design, and security teams.

A hybrid work model balances autonomy with teamwork. The role requires deep software development experience, strong API knowledge, and a commitment to secure, compliant architectures.

Qualifications

• A related technical degree or equivalent practical experience.
• 8+ years of backend software development experience.
• Proficiency in Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript.
• Broad knowledge of APIs and web standards (REST, SOAP, XML, JSON).
• Experience with Spring, gRPC, REST, and HTTP protocols.
• Experience with Agile development methodology.
• A demonstrated AI-first approach to engineering and using AI tools in workflows.
• Willingness to participate in on-call rotations.

Responsibilities

• Design, build, test, and operate capabilities across Momentum from meeting capture to insights.
• Develop robust backend services, APIs, and event-driven workflows at enterprise scale.
• Contribute to frontend experiences using modern JavaScript and component-based frameworks.
• Process and manage high-volume conversation, recording, transcript, and insight data securely.
• Design for security, privacy, compliance, data residency, observability, and readiness.
• Apply test-driven development and contribute to comprehensive test coverage.
• Use CI/CD tooling to safely deliver production-grade software.
• Monitor production behavior and improve reliability and supportability.
• Participate in architecture and code reviews, evaluating code for quality and security.
• Collaborate with various teams to deliver trusted customer outcomes.

Skills

Backend languages

APIs (REST/SOAP/XML)

Frameworks (Spring/gRPC/REST)

Agile development

AI-first engineering

AI tools experience (Claude Code/Copil

Prompt engineering

On-call rotation

Education

Related technical degree or equivalent

Tools

Claude Code

GitHub Copilot

Codex

Cursor

Job 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, HTTP, JSON, etc.
• Experience with Spring, gRPC, REST, and the HTTP 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