Greenfield Full Stack Developer

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

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 Digital Services 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 Denver, CO or Tukwila, WA, requiring 2–3 days per week on-site.

Day-to-day responsibilities include:

• Building full-stack, production-grade applications — frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environments
• Writing clean, testable, well-structured code across multiple languages and paradigms, and reviewing others' code to the same standard
• Writing and integrating tests (unit, integration, system) across the development process to ensure quality from local development through to deployment
• Designing and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who did not build them
• Integrating 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
• Setting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence
• Mentoring and uplifting developers around you through pairing, code review, and real-time feedback that raises the performance of the whole team
• Keeping 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

• You have built production applications from scratch and modernized legacy systems — comfortable with both greenfield and brownfield approaches, and know when to apply patterns like strangler fig or lift-and-refactor
• You are fluent in multiple programming languages and paradigms, writing clean and testable code in both functional and…