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# Software Engineer

- **Company:** BigBear.ai, Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Unix, C++ (Programming Language), Command-Line Interface, Cloud Computing, Configuration Management, Code Review, Continuous Integration, Python (Programming Language), Linux System Administration, Ansible, Software Engineering, Computer Networking Systems, Git, Containerization, Kubernetes, Software Performance, Software Version Control, Docker, Jenkins
- **Published:** July 21, 2026
- **Apply:** https://www.dice.com/job-detail/8e8d804c-3e92-492a-8311-2398dd8004a7

## About the Role

* Clearance: Must possess and maintain an active TS/SCI w/ Polygraph
 * Education & Experience: Bachelor's degree in a relevant field, plusproduction-grade software development experience in C/C++, Python, and Java
 * Version Control: Familiarity with software version control systems, such as Git
 * UNIX/Linux Proficiency: Experience using the command line in UNIX or Linux environments
 * Networked Systems: Experience working in multi-node networked environments

What we'd like you to have

 * Containerization: Experience with Docker or Kubernetes
 * Automation Tools: Familiarity with Ansible for configuration management
 * Cloud Hosting: Experience with cloud-based hosting environments, such as AWS
 * Continuous Integration: Proficiency with CI tools, such as Jenkins

## Description

* Software Development: Write production-grade software to be deployed in operational environments
 * Maintenance & Monitoring: Monitor software performance and implement updates as needed
 * Platform Enhancement: Augment the platform with new tools and technologies to meet evolving mission needs
 * Code Reviews: Perform thorough code reviews to ensure quality and compliance
 * Stakeholder Collaboration: Elicit requirements from stakeholders to align solutions with mission objectives
 * Documentation: Write detailed documentation to support compliance processes and operational workflows


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