Job description

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 Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. About the Role This role is part of Blue Origin Operations — which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance — supporting Manufacturing and Supply Chain across all Blue Origin facilities. You will sit on the software team within Operations that builds tools in direct support of our Manufacturing Engineers. We are returning humankind to the Moon, and Blue Origin s Manufacturing Engineers build the hardware that gets us there. On our small AI Solutions team, you will own the backend and data layer behind the tools a 100 person Manufacturing Engineering organization depends on. Several enterprise systems describe the same products from different angles, and they do not always agree. Your work turns that into one trusted picture of the product: the data models, integrations, and APIs our applications and AI features are built on. This is a systems-design role at its core, and the best engineers here also make a point of understanding the people they build for, so you will spend time on the floor with Manufacturing Engineers to learn the work before building for it. Special Mentions Shifts: 1st | Mon–Fri (8am–5pm) Location: Renton, WA (fully onsite / work from work, co-located with the Manufacturing Engineering organization and production floor) Relocation: Available Key Responsibilities Own the backend services, APIs, and data models behind the tools our team builds, primarily in Python, holding the technical-design and code-review bar as they grow. Build integrations that bring product data together from our enterprise systems, reconciling sources that describe the same things in different ways. Improve, harden, and modernize existing applications — not just greenfield work — including auth, data integrity, testing, and technical debt. Shape our product data so AI features can actually use it: structure, naming, and context a model can navigate reliably — plus human-in-the-loop safeguards and the evaluations that show whether those features are working. Deploy and operate the team s services on our cloud infrastructure (AWS), including CI/CD, monitoring, day-to-day reliability, and a share of on-call. Spend time with Manufacturing Engineers to learn how their work actually flows, and use data to validate that what you ship is actually helping the engineers who use it. Required Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience) 5 years of software engineering experience, with demonstrated ownership of production backend services Strong backend and API development in Python or a comparable language (REST and/or GraphQL), including interfaces that applications and AI agents both build on Depth in relational data modeling and SQL — changing a schema and migrating data in production without breaking the applications built on it Experience integrating multiple systems of record: reconciling identifiers, handling incomplete or inconsistent data, and building pipelines that recover cleanly from partial failure Hands-on experience deploying and running applications on AWS and containerized infrastructure Comfortable integrating LLMs into products, with judgment about what data a model can actually work with and whether an AI-assisted system is genuinely working — designing evaluations, questioning flattering results, and reviewing AI-generated code for correctness Strong communication and cross-functional collaboration; able to work directly with non-technical users to turn their needs into working software Preferred Qualifications Experience designing a shared data model or service that multiple applications depend on Experience preparing data for retrieval or agentic use, where the data s shape rather than the prompt was what made it work Experience modeling complex hierarchical data, such as product structures or bills of materials Experience connecting documents and engineering artifacts into structured workflows Prior experience building software in, or in direct support of, a manufacturing, aerospace, hardware production, or operations environment Familiarity with manufacturing execution systems (MES), work-order/work-instruction authoring systems, or PLM — or a demonstrated habit of learning a domain deeply before building for it Experience building internal tools that other engineers or operators actually adopted Experience with lakehouse and analytics platforms (e.g., Databricks, Spark SQL) Base Pay Range for: WA applicants is $164,652.00 - $230,512.80 Other site ranges may differ Culture Statement Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue’s Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company s intent to reward individual contributions and enable them to share in the company s results, or other factors at the company s sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here . Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance blueorigin.com . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

Requirements

Must-haves

Applications will be accepted on an ongoing basis until the requisition is closed.
Special Mentions Shifts: 1st | Mon–Fri (8am–5pm)
Location: Renton, WA (fully onsite / work from work, co-located with the Manufacturing Engineering organization and production floor)
Relocation: Available
Key Responsibilities Own the backend services, APIs, and data models behind the tools our team builds, primarily in Python, holding the technical-design and code-review bar as they grow.
Build integrations that bring product data together from our enterprise systems, reconciling sources that describe the same things in different ways.
Improve, harden, and modernize existing applications — not just greenfield work — including auth, data integrity, testing, and technical debt.
Deploy and operate the team s services on our cloud infrastructure (AWS), including CI/CD, monitoring, day-to-day reliability, and a share of on-call.
Spend time with Manufacturing Engineers to learn how their work actually flows, and use data to validate that what you ship is actually helping the engineers who use it.
Required Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
5 years of software engineering experience, with demonstrated ownership of production backend services
Strong backend and API development in Python or a comparable language (REST and/or GraphQL), including interfaces that applications and AI agents both build on
Depth in relational data modeling and SQL — changing a schema and migrating data in production without breaking the applications built on it
Experience integrating multiple systems of record: reconciling identifiers, handling incomplete or inconsistent data, and building pipelines that recover cleanly from partial failure
Hands-on experience deploying and running applications on AWS and containerized infrastructure
Strong communication and cross-functional collaboration; able to work directly with non-technical users to turn their needs into working software
Experience preparing data for retrieval or agentic use, where the data s shape rather than the prompt was what made it work
Experience modeling complex hierarchical data, such as product structures or bills of materials
Experience connecting documents and engineering artifacts into structured workflows
Prior experience building software in, or in direct support of, a manufacturing, aerospace, hardware production, or operations environment
Familiarity with manufacturing execution systems (MES), work-order/work-instruction authoring systems, or PLM — or a demonstrated habit of learning a domain deeply before building for it
Experience building internal tools that other engineers or operators actually adopted
Experience with lakehouse and analytics platforms (e.g., Databricks, Spark SQL)

Nice-to-haves

Preferred Qualifications Experience designing a shared data model or service that multiple applications depend on

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonawsci/cdapirestgraphqlsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave