Mid-Level Computer Scientist 130-005

*** Please note that this position is contingent upon the successful award of a contract currently under bid.***

The Mid-Level Computer Scientist develops, tests, and sustains software systems and data pipelines underpinning DIA's enterprise OBI production environment. Working in a SAFe Agile team alongside senior engineers and ontologists, this role contributes across the full SDLC - from feature development through testing, deployment, and O&M. All solutions integrate into DIA's IT environment (Python, R, SQL, ArcGIS, Tableau).

Duties may include:

• Design, develop, test, and deploy software applications, APIs, microservices, and data pipelines supporting DIA's MARS OBI platform and associated analytic workflows.
• Build and maintain ETL pipelines using Apache NiFi, Databricks, Python, or SQL to ingest, transform, normalize, and load structured and unstructured intelligence datasets into the MARS triple store.
• Develop and maintain SPARQL queries, SHACL validation shapes, and RDF/OWL mapping rules per Ontology & Knowledge Modeling to enforce data quality and DIEKM/DICO semantic compliance.
• Implement and maintain containerized deployments (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitLab, Fortify, SonarQube) containerization and infrastructure-as-code requirements.
• Develop and execute unit, integration, and regression test suites; participate in TEVV protocol execution for AI/ML components contributing to QAF deliverables.
• Maintain RMF documentation artifacts (SSPs, SARs, POA&Ms), STIG compliance baselines, and ATO support secure storage and distributed network access requirements.
• Ensure software deliverables comply with Government ownership requirements; maintain source code, version histories, container configurations, and deployment scripts obligations.
• Participate fully in SAFe ceremonies; commit to and deliver sprint objectives; contribute user stories aligned to backlog priorities.
• Author code documentation, API references, deployment runbooks, and release notes per Knowledge Management Strategy.

Education and Experience

Required:

• Bachelor's degree in Computer Science, Software Engineering, or related STEM field AND 3-6 years of software engineering in classified IC or DoD environments
• Proficiency in Python, Java, or C#; experience with DIA baseline: Python, R, SQL, ArcGIS, Tableau
• Containerization experience: Docker and Kubernetes in DevSecOps environments
• CI/CD toolchain experience: Jenkins, GitLab CI, Fortify, or SonarQube
• SQL and NoSQL database experience; ETL pipeline development in classified environments
• RMF, ACAS, STIG, and software security compliance in classified DoD/IC environments
• Agile/SAFe software development environment experience

Desired:

• Experience with RDF triple stores, SPARQL, OWL, or SHACL constraint languages
• Familiarity with DIA MARS, Object-Based Production (OBP), or DIEKM/DICO standards
• Apache NiFi, Databricks, or Kafka data pipeline development experience
• Elastic Search, Kibana, or Splunk analytics and monitoring experience
• SAFe Agile certification or demonstrated program delivery experience
• REST API design and development experience
• Familiarity with NIST AI RMF or DoD AI Ethical Principles for AI-adjacent software development

Security Clearance:

• Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.