Greenfield Full Stack Developer (Builder) - Experience or Senior Level

Boeing Digital Services is seeking experienced or senior level Greenfield Full Stack Developers to support end-to-end software delivery, leveraging AI tools to build cloud-native systems for digital aircraft maintenance products.

• 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 with the same standard.
• Write tests (unit, integration, system etc) and integrate them across the development process. Ensuring quality from local development to deployment.
• Designing and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who didn't build them.
• Integrating AI, ML or LLM capabilities directly into client applications — building agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation that actually works in production.
• Setting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence.
• Mentoring and uplifting the developers around you — pairing, code review, and real-time feedback that makes the whole team better.
• Keeping product leadership and architects informed of technical risk, blockers, and changes that affect the engagement.

• 3+ years of professional experience in an application development role, performing core activities across the software lifecycle- from requirements gathering and design to coding, testing, integrations, deployments, and production support
• 3+ years proven experience with full-stack web development
• 3+ years of experience with modern software product development, integration, and delivery
• 3+ years of hands-on development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools
• 5 or more years' related work experience or an equivalent combination of education and experience
• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Information Systems, or a related technical field is generally required for this role.
• An advanced degree such as a Master’s in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related discipline is preferred (particularly for candidates with experience in applied algorithms, AI/ML, or advanced system design).
• Experience or exposure integrating AI, ML, or LLM capabilities into software applications, including working with model APIs, prompt orchestration, retrieval-augmented generation, or intelligent automation workflows.
• Experience or exposure 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 approaches 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.

• competitive base pay and variable compensation opportunities
• health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work