Experienced or Senior Greenfield Software Developer – Boeing VancouverAt 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 team to succeed. About the RoleBoeing Vancouver is seeking an experienced or senior level Software Developer (Builder) to support end‑to‑end software delivery. This hybrid position requires 2‑3 days per week on site in the Richmond, BC office. The role focuses on leveraging the latest AI tools to build cloud‑native systems for cutting‑edge digital aircraft maintenance products. Position ResponsibilitiesModernize systems that have been running the business for years and design new systems that will run it for years to come. Build full‑stack, production‑grade applications – frontend interfaces, backend services, REST and GraphQL APIs, and integrations across complex enterprise environments. Write clean, testable, well‑structured code across multiple languages and paradigms, and review others’ code to maintain the same standard. Write tests (unit, integration, system, etc.) and integrate them throughout the development process. Ensure quality from local development to deployment. Design and implement event‑driven and microservices architectures that can scale, evolve, and be maintained by teams that did not build them. Integrate AI, ML or LLM capabilities directly into client applications – building agentic workflows, RAG pipelines, AI‑augmented developer tooling, and intelligent automation that works in production. Set up and improve CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence. Mentor and uplift the developers around you – pairing, code review, and real‑time feedback that improves the whole team. Keep product leadership and architects informed of technical risk, blockers, and changes that affect the engagement. What You're Looking ForProven experience building production applications from scratch and modernizing legacy systems – comfortable with greenfield, brownfield, and appropriate migration strategies like strangler fig or lift‑and‑refactor. Fluency in multiple programming languages and paradigms, with clean, testable code in functional and object‑oriented styles, and the ability to employ AI‑assisted development when appropriate. End‑to‑end ownership of the full SDLC – writing code, reviewing pull requests, writing tests, and empathizing with developers on either side. Deep understanding of cloud‑native architecture – containerization, microservices, event‑driven patterns, source‑control branching strategies, and CI/CD automation. Experience working inside large enterprise environments with distributed systems and multi‑cloud setups. Hands‑on knowledge of Kubernetes, managed container services, infrastructure‑as‑code, and observability platforms. Experience or exposure integrating AI/ML/LLM capabilities into software applications, including model APIs, prompt orchestration, retrieval‑augmented generation, or intelligent automation workflows. Background in aerospace, industrial, manufacturing, transportation, or similarly complex regulated environments. Basic Qualifications (Required Skills / Experience)3+ years of professional software development / engineering experience delivering production software in enterprise, cloud, or product development environments. 3+ years proven full‑stack development experience building and shipping applications that include frontend user interfaces, backend services, APIs, and system integrations. 3+ years experience with modern software delivery practices, including source control, branching strategies, automated testing, CI/CD pipelines, and release management. 3+ years hands‑on experience writing clean, testable, production‑quality code and participating in the full SDLC, including code review, debugging, testing, and deployment support. Must be legally authorized to work in Canada. Must not pose a risk to the safeguarding of controlled goods. Must be eligible to handle U.S. export‑controlled data. Preferred Qualifications5+ years of professional software development / engineering experience delivering production software in enterprise, cloud, or product development environments. 5+ years proven full‑stack development experience building and shipping applications that include frontend user interfaces, backend services, APIs, and system integrations. 5+ years experience with modern software delivery practices, including source control, branching strategies, automated testing, CI/CD pipelines, and release management. 5+ years hands‑on experience writing clean, testable, production‑quality code and participating in the full SDLC, including code review, debugging, testing, and deployment support. Experience integrating AI, ML, or LLM capabilities into software applications, including model APIs, prompt orchestration, retrieval‑augmented generation, or intelligent automation workflows. Experience building or integrating AI/ML/LLM‑powered product features in production. Experience with cloud‑native architecture and delivery tooling, such as containerization, Kubernetes or managed container services, infrastructure‑as‑code, and observability platforms. Experience modernizing legacy systems or working in brownfield environments, including techniques such as strangler fig, lift‑and‑refactor, or incremental modernization. Experience working in complex enterprise environments with distributed systems. Experience designing or contributing to event‑driven or microservices‑based systems that are scalable, maintainable, and production‑ready. Experience working with structured and unstructured data, including data cleaning, feature design, validation, quality checks, or analytical workflows. Demonstrated ability to collaborate effectively in a cross‑functional team, partnering with Product, Design, Engineering, Data Science, Architecture, or Operations to deliver business outcomes. Experience in aerospace, industrial, manufacturing, transportation, or similarly complex regulated environments. Additional InformationSecurity Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Benefits and Compensation: Salary ranges are determined by Canada. IC‑3 Mid‑Level (experienced) pay $94,000.00 – $167,000.00CAD. IC‑4 Senior or Lead‑Level pay $110,000.00 – $197,000.00CAD. Boeing is committed to protecting, connecting, and exploring our world and beyond, safely and sustainably. We value diversity, equity, and inclusion and foster a welcoming, respectful, and inclusive environment for all teammates, offering great opportunities for professional growth.#J-18808-Ljbffr