About this role
WHAT YOU WILL BE DOING
- Learn to architect and design scalable solutions for complex, high-stakes technical problems in both cloud and disconnected, tactical edge environments.
- Develop custom, high-impact applications (Python, Java, C++, TypeScript) to bridge legacy limitations, while concurrently architecting stable data pipelines and defining schema ontologies for large-scale integration.
- Decompose mission-critical operational workflows into clear, deliberate technical requirements and engineering specs that drive the development of scalable, secure product features.
Collaborate with internal engineering teams to drive projects from initial ideation and prototyping through to full-scale, secure deployment.
- Learn to lead systems integration efforts, linking modern software to legacy military C2 and targeting platforms, and troubleshooting system-of-systems architecture at the tactical edge.
- Rapidly iterate on solutions based on direct user feedback, maintaining a high pain threshold to deliver measurable, real-world value.
WHAT YOU HAVE DONE
- 1+ years of relevant, post-college software engineering or development experience.
- Strong systems engineering background—with the ability to draft technical specs and manage system-wide data models—alongside a robust foundation in Computer Science or Software Engineering.
- Proven proficiency as a coder in one or more modern programming languages, and demonstrated experience in systems integration, schema design, or data modeling within complex environments.
- Demonstrated ability to build, deploy, and maintain software solutions that handle data, logic, and operational complexity.
Experience engaging with non-technical stakeholders or mission users to turn abstract requirements into concrete code.
- History of success in unstructured, rapidly evolving environments where initiative and high-quality output are required.
EVEN BETTER
- Advanced expertise in data structures, storage systems, cloud infrastructure (e.g., AWS, Azure), and container orchestration (e.g., Kubernetes).
- Practical experience working with large-scale data and applying AI/ML libraries to address practical operational challenges.
Hands-on experience developing in disconnected (DDIL), air-gapped, or tactical edge environments.
- Deep curiosity about the underlying technical architecture and a "low ego" approach that values the mission outcome over personal recognition.