SOFTWARE DEVELOPER/ENGINEER (CLOUD/CYBER)

Quantum Research International, Inc.
Huntsville, AL, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

HTML JavaScript (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Applications Architecture Software Applications Bash Shell C Sharp (Programming Language) Cascading Style Sheets (CSS) Cloud Computing Cyber Security
+38 more
Computer Programming Databases Data Structures Software Debugging Decision Support Systems Linux Web Development ECMAScript Python (Programming Language) PostgreSQL Language Modeling MongoDB Natural Language Processing Object-Oriented Software Development Package Management Systems Scrum Methodology Redis Tensorflow Secure Coding Shell Script Software Engineering SQL Databases Systems Integration Pytorch ReactJS Large Language Models Prompt Engineering Deep Learning HybridCloud Git Containerization Information Technology Restful APIs Software Version Control Docker Golang Programming Languages Microservices

Job description

Quantum Research Intl is seeking a passionate and dedicated Senior Software Developer to provide advanced Software Development, Analytic Collaboration Environment - Cyber (ACE-C), and Enterprise Cloud Management Agency (ECMA) support to the Army’s Threat System Management Office’s Army Critical Information and Exposure Reporting System (ACIERS), supporting ASA(ALT) customers and end users. The ideal candidate is a seasoned expert with a strong technical foundation in full-stack and AI-integrated development, deep experience in emerging technologies, and a proven track record of leading complex projects. At Quantum, we value hard work, initiative, leadership, and a collaborative spirit. On-site position in Huntsville, AL., * Lead collaboration with peer developers, stakeholders, and cross-functional teams to architect, design, develop, and maintain ACIERS software applications and related systems.

  • Apply and enforce advanced programming best practices to ensure delivery of high-quality, scalable, and maintainable code.
  • Design, provision, scale, monitor, secure, and optimize cloud environments for mission applications.
  • Evaluate, test, and integrate large and small language models (LLMs) to meet ACIERS analytic and reporting requirements.
  • Troubleshoot complex issues across legacy and modern codebases, including AI pipeline modules, and drive continuous improvement initiatives.
  • Mentor junior and mid-level developers while working in Agile teams, providing leadership in front-end, back-end, and full-stack design for mission-critical applications.
  • Build, maintain, and optimize dockerized/containerized environments for application and model deployment in secure customer enclaves.
  • Develop, debug, enhance, and lead the evolution of Python-based services, scripts, utilities, and microservices architectures.
  • Guide the integration of AI frameworks, vector databases, and NLP capabilities into production systems.

Requirements

  • Bachelor of Science (BS) Degree from an accredited university in Computer Science, Software Engineering, Computer Programming, Electrical Engineering, or equivalent degree. Additional senior-level experience may be considered in lieu of a degree with a proven record of leadership and technical excellence.
  • 7+ years of progressive experience in industry-relevant software development, with demonstrated senior-level contributions.
  • Certifications in Software Engineering, Computer Programming, or Information Security a plus.
  • DoD Security Clearance (requires US Citizenship to obtain/maintain).
  • Must be able to obtain and maintain a DoD Top Secret clearance with SCI eligibility throughout employment.
  • Expert understanding of programming fundamentals, including advanced data structures, algorithms, object-oriented design, debugging, problem-solving, and version control (e.g., Git).
  • Proven experience with software development methodologies (Agile/Scrum preferred).
  • Strong AI Inference Framework Experience (Ollama, LM Studio, etc.); expertise in integrating AI frameworks into application architectures is required.
  • Proficiency in Database Technologies (SQL, MongoDB, PostgreSQL, Redis, etc.).
  • Hands-on experience with Natural Language Processing (NLP) techniques and Deep Learning frameworks (e.g., TensorFlow, PyTorch).
  • Extensive experience with Docker containerization and orchestration.
  • Strong knowledge of RESTful API design principles and implementation.
  • Familiarity with vector databases and their application in AI-driven systems.
  • Knowledge of industry best practices for web development and secure coding.
  • Effective communication, leadership, and collaboration skills in team environments.
  • Willing to travel as needed/required., * Bachelor of Science (BS) Degree from an accredited university in Computer Science, Software Engineering, Computer Programming, Electrical Engineering, or equivalent degree. Additional experience may be considered in lieu of a degree with a proven record of senior level experience. Strong willingness to learn and adapt to new technologies and programming language.
  • 9 + years of experience in industry-relevant software development.
  • Active DoD Top Secret clearance with SCI eligibility and ability to maintain throughout employment.
  • Proficiency in multiple programming languages and frameworks, including Python, C#, Go Lang, React, JavaScript, HTML, CSS, Git, Docker, Bash.
  • Experience with web development technologies (full-stack preferred).
  • Advanced knowledge of prompting methods, prompt engineering, and optimizing AI model outputs.
  • Experience designing or enhancing automated workflows leveraging AI models for analysis, content generation, or decision support.
  • Expert proficiency in Linux operating systems, including system administration, maintenance, package management, shell scripting, containerization (Docker), and troubleshooting Linux-based networks.
  • AWS Cloud Engineering skills (provisioning, security, scaling, monitoring).
  • Strong planning, critical thinking, problem-solving, task management, and time management skills.
  • Certifications in Software Engineering, Computer Programming, or Information Security a plus.

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