Software Developer-Builder (Experienced or Senior)

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

Were looking for a Software Developer-Builder (Experienced or Senior) 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) Engineering Greenfield Leadership Data Science and Architects 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; Denver CO.

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

Youll 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 didnt 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 Were Looking For You to Bring to the Table

Software Development Execution to Support Modernization

• Youve 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.

• Youre 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.

• Youve 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.

• Youve 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.

• Youre comfortable owning your part of the software development lifecycle (SDLC) end-to-end writing code reviewing pull requests (PRs) 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.

• Youve either built or been closely embedded with operations teams you understand cloud-native platform adoption whether thats 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

• Youve 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

• Bachelors 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 Masters 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 Companys Conflict of Interest (COI) assessment process.

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 experienced (level 3):

Summary pay range for senior (level 4):

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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