Seattle, Washington; Everett, Washington; Seal Beach, California; Kent, Washington; Berkeley, Missouri; Long Beach, California; Ridley Park, Pennsylvania; Mesa, Arizona; North Charleston, South Carolina; Dallas, Texas
Job ID JR2025468657 Category Information Technology Role Type Hybrid Post Date Aug. 27, 2025

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.
The Boeing Company is looking for a DevOps Developer (Mid-Level, Senior or Lead) to join the team in Seattle, WA; Everett, WA; Kent, WA; Berkeley, MO; Dallas, TX; Seal Beach, CA; Long Beach, CA; Mesa, AZ; North Charleston, SC; or Ridley Park, PA.
You will join Enterprise Artificial Intelligence and Data (EAI&D) team driving Next-Gen Data and Artificial Intelligence (AI) Platform capability development and solution delivery, including major acquisitions and extending connectivity across Boeing, its suppliers, and customers for Information Digital Technology and Security.
You will deliver Microservices and Application Programing Interface (API) first Data Platforms and Solutions that support tens of thousands of business processes spanning supply chain, airplane development and manufacturing, and aftermarket services. This role needs someone who can quickly understand operational needs and requirements, design and execute against those requirements – and have the business and technical fluency to push back against suboptimal requirements and ultimately ensure durable success with sustainability front-of-mind.
Your focus will include technical design, hands-on delivery, execution, and operations of secure data solutions. You will provide leadership for junior or temporary staff, and you work alongside architecture, product management, and operations to define roadmaps. Success in this role requires strong skills in Agile Methods, Software Engineering, Data Architecture, and Continuous Integration / Deliver (CI-CD). You should feel comfortable executing a >99.96% availability cloud-agnostic microservices data solution in Amazon Web Services (AWS) or Azure that can be relied on for building and servicing airplanes. You will be supported by world-class tools and expert teams specializing in Product Management, data, automation, and Artificial Intelligence (AI) to help you succeed.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• 3+ years of experience leading technical design, execution, and sustainment of Production-Grade applications and/or services
• 3+ years of experience designing and developing software using Python, C/C++, C# and/or Java
• 3+ years of experience with database design, data modeling, or object modeling
• 3+ years of experience in product production and/or delivery of products/services

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

• 5 or more years’ related work experience or an equivalent combination of education and experience
• 10 or more years’ related work experience or an equivalent combination of education and experience
• Experience with cloud technologies (ex. Amazon Web Services, Azure)
• Experience with API first integration and Microservices
• Experience working with Cloud-Agnostic and/or Open-Source tools (ex. Kubernetes, Apache Foundation)
• Experience communicating with technical and non‑technical stakeholders across all development roles and levels, with clear calls to action

• Leads and performs development of build, test and deploy automation, monitoring, and analysis solutions
• Identifies and leads investigation moderately complex technical and reliability challenges of in the development and implementation process, creates and recommends process improvement solutions
• Builds and integrates complex software tools to enhance the product’s reliability and scalability
• Supports setting up development and production environments, deployment of application devices
• Develops best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting