Senior Software Engineer

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.

We are hiring a motivated Sr. Software Engineer who is eager to learn and apply their technical skills with a commitment to quality and a passion for our mission and vision! You'll help build agentic, workflow-driven search and discovery platforms - powering enterprise knowledge graphs and AI-assisted search - using Python, Java, and JavaScript.

This position is ideal for senior engineers who have extensive full-stack experience and can drive technical strategy while building user-centric search interfaces that are intuitive, performant, and aligned with mission-critical operations. The candidate will be expected to demonstrate technical leadership, mentor engineering teams, and make architectural decisions that support our manufacturing operations at scale.

Key Responsibilities:

• Lead technical architecture and design decisions for enterprise search and discovery platforms, ensuring scalability and performance at Blue Origin's operational scale
• Drive development of sophisticated frontend search interfaces using modern frameworks such as React, Angular, or Vue, with advanced features like semantic search, knowledge graph visualization, and AI-powered recommendations
• Architect and implement complex backend services (REST, GraphQL, microservices) to support enterprise search, knowledge graph queries, AI agent orchestration, and real-time data integration
• Own end-to-end deployment strategies within AWS containers, optimizing for performance, cost, and reliability using services like Amazon ECS, EKS, Lambda, and Fargate
• Lead integration initiatives with AI/ML systems including advanced RAG implementations, the Strands Framework, BlueGPT capabilities, and external AI service providers
• Collaborate directly with Product Management, Data Science, and business stakeholders to define technical roadmaps and deliver cohesive search experiences
• Make critical architecture decisions for search platforms, balancing scalability, performance, maintainability, and security requirements
• Design and optimize complex APIs for Sinequa integration, knowledge graph data access, and multi-modal search capabilities
• Establish testing strategies and frameworks to ensure enterprise-grade reliability and performance of search APIs and applications
• Lead troubleshooting of complex technical issues across search pipelines, AI integration, distributed systems, and application performance
• Mentor and provide technical guidance to Level II and III engineers, fostering knowledge sharing and best practices
• Drive innovation by researching and prototyping emerging search, knowledge graph, and AI technologies
• Influence technical standards and practices across the broader engineering organization

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience
• 7+ years software development experience, with 3+ years in senior or lead engineering roles
• Proficiency with Large Language Models (LLMs) for code generation, debugging, and development assistance
• Expert-level proficiency in frontend technologies, particularly JavaScript/TypeScript with React ecosystem
• Extensive experience with full-stack development using Node.js, Python, Java, or similar for complex backend services
• Deep understanding of search technologies, information retrieval, and enterprise search architecture
• Proven experience architecting and deploying production systems in cloud environments (AWS preferred)
• Strong understanding of distributed systems, microservices architecture, and API design patterns
• Experience with advanced database design and management (SQL, NoSQL, graph databases)
• Demonstrated ability to lead technical initiatives and mentor junior engineers
• Expertise with containerization (Docker/Kubernetes), version control