Job Summary: 

Designs, develops, evaluates, plans and tests AI features across a few software programs and applications  

Job Duties: 

• Integrate multiple data streams into customer system 

• Complete Cloud platform migrations (between currently existing and available platforms) 

• Develop AI features for existing Ontology-based software applications 

• Creates sustainable software applications - work is estimated accurately, branching strategies are efficient, code repos are maintained, etc. 

• Works as a member of an agile scrum team and participates in regular agile ceremonies applying scrum methodologies - daily stand up, planning, sprint reviews, demos, retrospectives. 

• Implements requirements from the product backlog 

• Assists in writing backlog requirements/user stories 

• Utilizes a modern DevSecOps approach in building software applications 

• Develop and modify applications, software, services, utilities, interfaces, and IT systems that support systems and analysts. 

Skills/Qualifications: 

Required: 

• 5+ years of experience 

• Bachelor's Degree in computer science, computer engineering, systems engineering or any related field/major, or 3 additional years of experience in information technology. 

• Senior-level software development experience designing, developing, and maintaining secure, scalable, and mission-focused applications. 

• Strong programming experience with Python, Java, and/or Scala. 

• Experience developing and integrating RESTful APIs, Git-based workflows, automated unit/integration/system testing, CI/CD pipelines, and modern software delivery practices. 

• Hands-on experience with Docker/containerization, microservice architectures, Helm, and development container environments. 

• Experience developing applications using Generative AI technologies, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and LLM-enabled workflows. 

• Experience designing, deploying, and supporting cloud-native applications using AWS, OpenShift, and Kubernetes. 

• Experience integrating, transforming, and managing data from multiple sources, organizations, and network environments. 

• Experience deploying applications into new or complex network environments. 

• Experience applying DevSecOps practices, including secure software development, code hardening, dependency/package updates, vulnerability remediation, and automated security scanning. 

• Ability to troubleshoot complex software systems and collaborate across development, infrastructure, security, and mission teams. 

Desired: 

• Familiarity with data normalization, transformation, and visualization techniques. 

• Familiarity with graph-based data models, data relationships, and advanced data structures. 

• Experience working in Agile/Scrum development environments. 

• Experience developing and presenting technical metrics, status reports, and project updates to internal leadership and external customers. 

• Demonstrated ability and willingness to mentor junior developers and contribute to team engineering practices.