Software Development Engineer Sr
Listed on 2025-12-27
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Software Development
Software Engineer, Cloud Engineer - Software, AI Engineer
Software Development Engineer Sr
Blue Origin
2 days ago Be among the first 25 applicants
Applications are 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 skilled, motivated engineer to join a team developing manufacturing automation and enterprise systems to drive efficiency throughout the company. As a software engineer, you will be a key member of a team of experts supporting manufacturing developing software platforms to enable real‑time analysis and decision‑making. We are constantly innovating in the ways we are automating and accelerating the delivery of products using pioneering software and hardware technologies.
We use the latest AWS and GenAI platforms and approaches to build distributed, highly available systems to achieve our goals.
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Responsibilities- Develop new tools and applications that enable manufacturing teams to automate existing processes and standardize on performance‑based benchmarks.
- Contribute to the design, implementation, and deployment of successful enterprise‑scale systems and services in support of operations and the businesses they support.
- Produce quality user documentation for defining integrations between enterprise‑level applications.
- Leverage AI technologies and tools (e.g., LLMs, computer vision models) to enhance software capabilities, improve automation, and drive innovation in enterprise applications.
- Adopt software Dev Ops technologies to solve software automation problems.
- Identify feature gaps between enterprise systems and develop remediation plans.
- Share knowledge in performance, scalability, enterprise system architecture, and engineering standard methodologies.
- BA/BS in computer science, information science or related field; or equivalent practical experience.
- Strong understanding of software engineering principles and the ability translate domain expertise into applications.
- Either Java, Python, JS, or C# must be a primary language.
- Experience developing APIs and building applications on them in a production environment.
- Experience solving complex problems by leveraging AI tools and integrating AI‑powered solutions into software development workflows.
- Experience standing up servers, databases, and enterprise‑level applications.
- Familiarity with the migration of software from development to production.
- Strong familiarity with SQL and database systems.
- Experience with AWS, Azure, or other cloud infrastructures.
- An internal drive to deliver high‑quality results with the ability to seek out requirements and propose solutions.
- Solid understanding of version control systems.
- Have an ability to take technical ownership, step in to help team members as needed, collaborate with team members to identify, and fix technical problems.
- Outstanding interpersonal and communication skills.
- Expertise using software Dev Ops to deploy applications.
- Understanding of ERP, MES, and other common manufacturing software.
- Interest in developing innovative systems for manufacturing leveraging IIoT, AI/ML and data engineering.
$ – $
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