1 day ago
Richmond, CanadaMid Level
Responsibilities
- Build full-stack production applications, including frontend interfaces, backend services, REST and GraphQL APIs, and enterprise integrations.
- Write, review, and maintain clean, testable code across multiple languages and programming paradigms.
- Develop unit, integration, and system tests and improve test automation and CI/CD pipelines.
- Design and implement scalable event-driven and microservices architectures.
- Integrate AI, ML, and LLM capabilities including agentic workflows, RAG pipelines, and intelligent automation into client applications.
- Apply algorithms and data-driven approaches across application validation, transformation, and integration workflows.
- Support experimentation, monitoring, production metrics, and data pipelines for reliable application behavior.
- Mentor developers through pairing, code review, and real-time feedback.
- Communicate technical risks, blockers, and delivery changes to product leadership and architects.
Requirements
- At least 3 years of professional application development experience across requirements, design, coding, testing, integration, deployment, and production support.
- At least 3 years of full-stack web development experience.
- At least 3 years of modern software product development, integration, and delivery experience.
- Experience with relational or NoSQL databases, including data modeling, querying, and application-layer integration; examples include PostgreSQL, Azure SQL, and MongoDB.
- Experience with cloud-native architecture, containerization, microservices, event-driven patterns, source control branching, and CI/CD automation.
- Experience with cloud-native platform adoption, managed container services, infrastructure as code, observability, and production operations.
- Preferred bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Information Systems, or a related technical field.
- Preferred advanced degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related discipline.
- Experience integrating AI, ML, or LLM capabilities, including model APIs, prompt orchestration, retrieval-augmented generation, or intelligent automation workflows, is preferred.
- Experience with Microsoft Azure delivery tooling such as AKS, Azure Functions, and Azure DevOps is preferred.
- Experience modernizing legacy or brownfield systems and familiarity with Databricks or similar unified data and AI platforms are preferred.
- Must be legally able to work in Canada, eligible to handle US export-controlled data, and able to satisfy Boeing's controlled-goods and conflict-of-interest requirements.
Benefits
- Hybrid work in Richmond, BC, requiring 2–3 days per week onsite; onsite expectations may change at the hiring team's discretion.
- Relocation assistance is not negotiable, so candidates must live in the immediate area or relocate at their own expense.
- The position is locally hired in Canada through Boeing Canada and is not an expatriate assignment.
- The role does not require a security clearance.
Tech Stack
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.