Software Engineer III

Black Eagle Defense

Fort Meade, MD, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$209,000.0 - $266,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Signals Intelligence Systems Analysis Python (Programming Language) Network Protocols Open Source Technology Parsing Technical Data Management Systems Computer Network Technologies Delivery Pipeline Large Language Models

+6 more

Prompt Engineering Git Information Technology Atlassian Tools Software Version Control Vulnerability Analysis

Job description

DUTIES As a successful candidate for the Software Engineer III role, you will serve as a hybrid Analyst/Developer utilizing your experience in LLMs and AI-integrated Python pipelines to drive mission-critical initiatives. In this position, you will participate in every stage of the development lifecycle for new tools and plugins, from initial conceptualization through deployment. Your core focus will involve architecting agentic Python automations, conducting vulnerability research, analyzing complex technical data, innovating and documenting operational tradecraft, and managing strategic customer outreach.

Requirements

Design and deploy agentic AI workflows utilizing autonomous planning and tool-use to streamline internal operations and improve system efficiency
Design, develop, and maintain automated workflows using Python
Conduct targeted vulnerability analysis
Develop and document advanced operational tradecraft
Execute on technical customer requests and operational requirements
Perform strategic customer outreach and stakeholder engagement

QUALIFICATIONS Twelve (12) 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:

Leverage LLMs to solve complex technical problems with expertise in prompt engineering and model optimization
Integrate AI models into automated pipelines and production workflows using APIs and orchestration tools
Demonstrate strong Python development skills across complex applications
Parse, manipulate, and transform unstructured datasets for analysis
Apply core networking principles and understand standard network protocols
Conduct open-source research and analytical investigations
Apply foundational knowledge of end-to-end SIGINT collection and analysis systems
Utilize Git for source control and code collaboration
Leverage Atlassian tools, including Jira and Confluence, for workflow management and documentation