Bachelor's degree in Computer Science, Software Engineering, or a related field
7+ years of experience designing and deploying software systems in production environments
Established background in architecting and iterating modern backend systems and microservices
Demonstrated expertise building scalable APIs and cloud-native backend services
Proficiency in languages such as Java, Python, or Go for backend development
Strong understanding of database design, caching strategies, and data persistence patterns
Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies
Demonstrated background in researching and incorporating modern AI/ML tools into backend systems
5+ years of experience architecting large-scale API infrastructure and platform services
Deep expertise in microservices architecture, distributed systems, and system design at scale
Experience leading cross-functional technical teams and driving architectural decisions
Track record of building and scaling high-performing engineering teams
Proven ability to design systems that support organizational growth and multiple use cases
Experience with API Gateway technologies and enterprise connectivity solutions
Knowledge of aerospace, manufacturing, supply chain, or test software domains
Experience architecting and scaling AI/ML solutions and building AI-capable backend systems
Deep understanding of large language models, generative AI, and emerging AI technologies
Track record of incorporating AI capabilities into platform services to drive business value
Experience designing backend infrastructure optimized for machine learning and data processing workloads
Expertise in integrating LLMs into production systems and managing LLM-based services at scale
Compensation Range for:
WA applicants is $197,529.00 - $276,539.55
Other site ranges may differ
Culture Statement
Benefits
Vision insurance
Additional Information
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 looking for a strong Senior Backend Software Engineer to design and develop robust API infrastructure and platform services for the Operations Technology Platform team. This role is at the heart of our platform engineering mission, where your work will enable full-stack engineering teams and software teams across Blue Origin to build scalable systems and applications. Join us as we build the next generation of our API Gateway and establish the foundation for enterprise connectivity across supply chain and operations!
Special Mentions
Relocation provided
Travel to Blue Origin's various manufacturing facilities may be required up to 10% of the time
Interviews will include a technical assessment
Responsibilities include but are not limited to:
Lead the design and development of API infrastructure and backend services that power our platform ecosystem
Architect and implement our API Gateway initiative, enabling secure and efficient connectivity for teams across Blue Origin
Write high-quality, efficient, and maintainable code in languages such as Java, Python, Go, and C++
Design and build resilient, scalable microservices and backend systems that support organizational growth
Implement robust API design patterns, versioning strategies, and documentation to ensure platform usability
Champion operational excellence through monitoring, observability, and reliability practices; maintain high system uptime
Lead technical design reviews across the organization, building repeatable processes and standards for backend systems
Drive continuous improvement of platform infrastructure and deployment pipelines
Architect and scale AI/ML-capable backend services and infrastructure to support emerging organizational needs
Mentor junior and mid-level software developers and contribute to team technical excellence