Senior Software Engineer
Boeing
Role: Senior Software Developer - Builder (Technical Lead)
About the Role
Boeing Digital Services is hiring a Senior Software Developer-Builder to serve as a hands-on technical lead for a small development team. In this role, you will lead end-to-end delivery of modern, cloud-native applications and integrate AI/ML capabilities into digital aircraft maintenance products.
Key Responsibilities
- Technical Leadership & Execution: Serve as a hands-on lead for a small dev team—guiding execution, sprint planning, architectural decisions, and code quality while balancing individual coding contributions.
- System Modernization: Design and deliver full-stack, production-grade microservices and event-driven architectures across both greenfield builds and brownfield modernizations (Strangler Fig, lift-and-refactor).
- Applied AI Integration: Integrate AI, ML, and LLM capabilities into production software (RAG pipelines, agentic workflows, intelligent automation) and leverage AI developer tools (Cursor, Claude, Windsurf).
- Full-Stack & API Engineering: Build scalable frontend interfaces, backend services, and robust REST/GraphQL APIs within complex, multi-cloud enterprise environments.
- Quality & CI/CD Ownership: Embed quality practices end-to-end through automated testing (unit, integration, system) and continuous deployment (CI/CD) infrastructure.
- Mentorship: Elevate team performance through code reviews, pairing, real-time feedback, and technical coaching.
Required Qualifications
- 5+ years of professional application development experience across the full SDLC.
- 5+ years of experience in full-stack web development.
- 5+ years working in modern software product development and delivery.
- 5+ years in an Agile team environment using continuous integration/DevOps tools.
- 2+ years of experience leading or guiding a small technical team (coordinating work, reviewing code, driving execution).
Preferred Qualifications
- 7+ years of total software engineering experience.
- Education: Bachelor’s degree in CS, Software Engineering, or related technical field (Master's in CS, AI/ML, or Data Science preferred).
- AI/ML Experience: Hands-on experience building/deploying AI, ML, or LLM features into production applications (APIs, prompt orchestration, RAG).
- Cloud-Native Tech: Containerization, Kubernetes, Infrastructure as Code (IaC), and modern observability platforms.
- Enterprise Modernization: Demonstrated success modernizing legacy brownfield systems in distributed enterprise environments.
- Industry Domain: Experience in aerospace, industrial, manufacturing, transportation, or highly regulated environments.
Vacancy posted 26 minutes ago
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