Software Engineer I - Tools and Applications with Security Clearance

Black Eagle Defense

Fort Meade (MD)

On-site

USD 124,000 - 181,000

Full time

4 days ago
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Job summary

Black Eagle Defense seeks a Software Engineer I to build and maintain AI-enabled tools and applications for mission-critical workflows at Fort Meade, MD. You will help turn evolving requirements into reliable software and work directly with users to deliver targeted solutions.

Core duties include integrating LLMs into development workflows, deploying apps on AWS with containerization, and collaborating across teams to ensure performance, reliability, and security.

Qualifications

  • Three (3) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
  • A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required.
  • Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
  • Apply fundamental UI/UX design principles to tool and application development
  • Integrate LLMs into software development workflows to enhance coding efficiency and solution functionality

Responsibilities

  • Develop high-quality AI tools and applications for workforce adoption
  • Ensure high availability, reliability, performance, and security across AI tools
  • Modify and adapt Free and Open-Source Software (FOSS) to satisfy customer use cases
  • Engage directly with users to conduct requirements elicitation and deliver targeted solutions
  • Maintain existing customer-facing applications and infrastructure to guarantee reliable service

Skills

AI tools development
User collaboration
Python programming
UI/UX principles
Cloud deployment

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
Helm
Argo CD
OpenWebUI

Job description

Job Description SALARY RANGE $124,000 - $181,000/year. DUTIES As a successful candidate for the Software Engineer I - Tools and Applications role, you will help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. You will develop and maintain high-quality tools and applications that allow the workforce to use AI seamlessly and efficiently. In a dynamic environment where requirements shift as mission needs adapt and new technology emerges, you will continuously hone your skills to turn loosely defined problems into impactful, working solutions. Required Skills SKILLS * Develop high-quality AI tools and applications for workforce adoption

  • Ensure high availability, reliability, performance, and security across AI tools
  • Modify and adapt Free and Open-Source Software (FOSS) to satisfy customer use cases
  • Engage directly with users to conduct requirements elicitation and deliver targeted solutions
  • Maintain existing customer-facing applications and infrastructure to guarantee reliable service QUALIFICATIONS Three (3) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Additional Requirements: * Apply fundamental UI/UX design principles to tool and application development
  • Integrate LLMs into software development workflows to enhance coding efficiency and solution functionality
  • Rapidly learn and adopt new technologies as project and mission needs evolve
  • Communicate effectively and collaborate proactively to clarify requirements and solve technical challenges
  • Demonstrate proficiency in Python or another modern object-oriented programming language Desired Skills NICE-TO-HAVES * Utilize open-source LLM UI software such as OpenWebUI
  • Operate within AWS or other major cloud service provider environments
  • Deploy and manage applications using Kubernetes and Helm
  • Implement CI/CD workflows using Argo CD or similar frameworks
  • Support production software using Site Reliability Engineering (SRE) best practices
  • Package and manage applications using Docker and containerization
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