Greenfield Full Stack Developer (Builder) - Experience or Senior Level
Job description
Greenfield Full Stack Developer (Builder) - Experience or Senior Level
Company:
The Boeing Company
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 empowered team to succeed. Join us in creating the future of aviation technology, where your contributions will shape impactful solutions for airlines around the globe.
About the Role
We're looking for experienced or senior level Greenfield Full Stack Developers (Builder) who will help support the end-to-end software delivery. This is first and foremost grounded in Software Developers who bring both passion and experience in leveraging the latest AI tools to build cloud-native systems for cutting edge digital aircraft maintenance products.
You will work closely with other Developers (Builders), Product, Design, Tech Leads, Architects, and Data Science to deliver product features and capabilities that keep AI/ML at the center.
This role is a hybrid position (2-3 days per week) and can be worked out of either our: Seattle, WA or Denver, CO offices.
Our teams are currently hiring for a broad range of experience levels including; Experienced, or Senior Software Developer-Builders
Position Responsibilities
Technical Execution in Support of Modernization
You'll be modernizing systems that have been running the business for years and building new ones that need to run it for years to come. Day to day that looks like:
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.
What We're Looking For You to Bring to the Table
Software Development Execution to Support Modernization
You've built production applications from scratch and modernized legacy systems — comfortable with both greenfield and brownfield and know when approaches like strangler fig or lift-and-refactor are appropriate.
You're fluent in multiple programming languages and paradigms — clean, testable code in both functional and object-oriented styles, knowing how to pick the right tool for the job, including when to reach for AI-assisted development.
You've delivered full-stack solutions — frontend web apps, backend APIs, cloud-hosted services, and standalone applications — and understand how those pieces fit together end-to-end in complex enterprise environments.
You've worked inside large enterprise environments with disparate/distributed systems and multi-cloud setups — you know how to navigate organizational complexity and deliver in spite of it.
You're comfortable owning your part of the software development lifecycle (SDLC) end-to-end — writing code, reviewing pull requests (PR’s), writing tests, and empathizing with developers on either side of you.
You understand cloud-native architecture — containerization, microservices, event-driven patterns — and are comfortable with source control branching strategies and CI/CD automation.
You've either built or been closely embedded with operations teams — you understand cloud-native platform adoption, whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment, infrastructure as code, observability, and what it means to build software that can be run in production.
Data, Modeling, and Applied Algorithms
Experience leveraging algorithms and data-driven solutions for complex web or application features.
Ability to translate business needs into clear technical requirements, implementation approaches, and success criteria.
Experience working with application data, including validation, transformation, and integration across front-end and back-end systems.
Ability to evaluate solution performance using testing, metrics, and user or production feedback.
Familiarity with experimentation, monitoring, and data pipelines that support reliable application behavior in production.
AI and Intelligent Systems
You've built or integrated AI capabilities into real applications — you know what it takes to get an AI-powered or ML/LLM feature into production and keep it working.
You use AI coding tools like Claude, Cursor, or Windsurf as a natural part of how you work — as a way to move faster and produce higher quality output every day.
Basic Qualifications (Required Skills/Experience)
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
Preferred Qualifications (Desired Skills/Experience):
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.
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including 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.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range for Mid-level (Level 3): $116,450 – $157,550
Summary Pay Range for Senior level (Level 4): $142,800 – $193,200
Language Requirements:
Not Applicable
Education:
Not Applicable
Relocation:
Relocation assistance is not a negotiable benefit for this position.
Export Control Requirement:
This is not an Export Control position.
Safety Sensitive:
This is not a Safety Sensitive Position.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.