Greenfield Full Stack Developer

Greenfield Full Stack Developer – Boeing Vancouver

At Boeing Digital Services, we focus on practical innovation that drives tangible results for the aerospace industry. Our team leverages advanced technology and data analytics to develop solutions that enhance operational efficiency and meet the needs of our customers. We are dedicated to creating intuitive, scalable, and secure solutions that empower our customers, partners, and teams to succeed. Join us in creating the future of aviation technology, where your contributions will shape impactful solutions for airlines around the globe.

Boeing Vancouver is seeking a Greenfield Full Stack Developer to support end‑to‑end software delivery within our digital aircraft maintenance product suite. This role is grounded in strong software development fundamentals, with an emphasis on leveraging modern AI‑assisted tools to build cloud‑native systems at the cutting edge of aerospace technology. You will work closely with Developers, Engineering, Greenfield Leadership, Data Science, and Architects to deliver product features and capabilities that keep AI and ML at the center of our solutions.

This is a hybrid position based out of Richmond, BC, requiring 2–3 days per week on‑site.

Technical Execution in Support of Modernization

• Modernize systems that have been running the business for years, while building new ones designed to run it for years to come.
• Build full‑stack, production‑grade applications — frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environments.
• Write clean, testable, well‑structured code across multiple languages and paradigms, and review others’ code to the same standard.
• Write and integrate tests (unit, integration, system) across the development process to ensure quality from local development through to deployment.
• Design and implement event‑driven and microservices architectures that can scale, evolve, and be maintained by teams who did not build them.
• Integrate AI, ML, or LLM capabilities directly into client applications — including agentic workflows, RAG pipelines, AI‑augmented developer tooling, and intelligent automation that works reliably in production.
• Set up and improve CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence.
• Mentor and uplift developers around you through pairing, code review, and real‑time feedback that raises the performance of the whole team.
• Keep product leadership and architects informed of technical risk, blockers, and changes that affect delivery.

• Apply algorithms and data‑driven approaches to solve complex web and application challenges.
• Translate business needs into clear technical requirements, implementation approaches, and measurable success criteria.
• Work with application data across validation, transformation, and integration touchpoints spanning front‑end and back‑end systems.
• Evaluate solution performance using testing frameworks, production metrics, and user feedback loops.
• Support experimentation, monitoring, and data pipelines that ensure reliable application behavior in production.

• Build or integrate AI capabilities into real applications — with demonstrated understanding of what it takes to get an AI‑powered or ML/LLM feature into production and keep it working.
• Use AI‑assisted development tools (e.g., Codex) as a natural part of your daily workflow to move faster and produce higher‑quality output.

Basic Qualifications (Required)

• 2+ years of professional experience in an application development role, performing core activities across the software lifecycle — from requirements gathering and design through coding, testing, integrations, deployments, and production support.
• 2+ years of proven experience with full‑stack web development.
• 2+ years of experience with modern software product development, integration, and delivery.
• 2+ years of hands‑on development experience in a collaborative team environment using Agile principles, structured code review, and automated Dev Ops processes and tooling.
• Experience…