21 hours ago
Richmond, Canada or Vancouver, CanadaSenior
Responsibilities
- Build and maintain full-stack production applications with frontend interfaces, backend services, REST and GraphQL APIs, and enterprise integrations.
- Write, test, review, debug, and deploy production-quality code across multiple languages and programming paradigms.
- Design and implement scalable event-driven and microservices architectures.
- Integrate AI, ML, and LLM capabilities into client applications, including agentic workflows, RAG pipelines, AI-augmented tooling, and intelligent automation.
- Set up and improve CI/CD pipelines, test automation, and delivery infrastructure.
- Work with data, algorithms, statistical modeling, machine learning, optimization, forecasting, simulation, and production model evaluation.
- Collaborate with Product, Design, Engineering, Data Science, Architecture, and Operations teams while communicating technical risks and blockers.
- Mentor developers through pairing, code review, and ongoing feedback.
Requirements
- At least 5 years of professional software development or engineering experience delivering production software.
- At least 5 years of full-stack development experience covering frontend applications, backend services, APIs, and integrations.
- At least 5 years of experience writing clean, testable production code across the full software development lifecycle.
- At least 3 years of experience integrating AI, ML, or LLM capabilities into software applications, including model APIs, prompt orchestration, RAG, or intelligent automation.
- At least 3 years of experience building or integrating AI/ML/LLM-powered production features, including evaluation, monitoring, and lifecycle management.
- At least 5 years of experience with source control, branching strategies, automated testing, CI/CD pipelines, and release management.
- At least 5 years of experience in complex enterprise or cloud environments involving distributed systems, multiple teams, shared platforms, or integration-heavy architectures.
- Experience with cloud-native architecture, containerization, Kubernetes or managed container services, infrastructure as code, and observability platforms is preferred.
- Experience with legacy modernization, event-driven or microservices systems, structured and unstructured data, and analytical workflows is preferred.
- Experience in aerospace, industrial, manufacturing, transportation, or similarly regulated environments is preferred.
- A bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or Information Systems is preferred.
- Must be legally able to work in Canada, eligible to handle US export-controlled data, and able to satisfy controlled-goods safeguarding requirements and the company's conflict-of-interest assessment.
Benefits
- Hybrid work arrangement requiring two days per week in the Richmond, BC office.
- Relocation assistance is not a negotiable benefit.
- Salary range is CAD $110,000.00–$197,000.00.
- This is a locally hired Canada position and is not an expatriate assignment.
- The position does not require a security clearance.
Tech Stack
GraphQLKubernetes
Categories
About Boeing
Boeing designs, manufactures, and services commercial airplanes along with defense and space systems for airlines, governments, and space agencies worldwide. It sells aircraft and related systems plus aftermarket support and lifecycle services. Founded in 1916 and headquartered in Arlington, VA, Boeing is a public company listed on the NYSE (BA), with notable programs including the 737/787 families and work on NASA space initiatives.