Junior Software Engineer

SAIC is seeking a versatile Software Engineer to support the development of an enterprise data and AI platform for a government client. This role focuses on building, integrating, and maintaining modular application components that connect data processing, automation, and visualization layers. The Software Engineer will collaborate with the Agile/DevSecOps team to ensure a secure, high-performing, and compliant system.

We are looking for someone who is:

• Mission-Oriented: Motivated to contribute to federal data-modernization and AI-readiness efforts that improve national security outcomes.

• Adaptable: Comfortable working across multiple layers of the stack—helping wherever needed to accelerate sprint goals.

• Detail-Driven: Writes clean, maintainable, well-tested code and understands the impact of software decisions on system security and scalability.

• Collaborative: Thrives in agile, cross-functional teams; communicates clearly with designers, engineers, and product leads.

• Growth-Minded: Eager to learn emerging tools and frameworks that strengthen automation, data integration, and security posture.

Key Responsibilities

• Design, build, and maintain modular software components supporting data ingestion, processing, and metadata tagging workflows.

• Develop APIs and integration services that connect data automation pipelines, metadata registries, and front-end dashboards.

• Write clean, well-documented code in Python, TypeScript, or Java, adhering to project coding standards.

• Implement automated tests (unit, integration, and regression) to ensure reliability and reduce manual QA overhead.

• Collaborate with a cross-functional team (including designers, engineers, and product leads) to deliver end-to-end features that meet accessibility, performance, and security expectations.

• Contribute to CI/CD pipelines and environment automation alongside the DevSecOps engineer, ensuring builds are repeatable, traceable, and compliant.

• Participate in agile two-week sprint cycles; support backlog grooming, code reviews, and sprint demos.

• Write and maintain technical documentation in Confluence and link code changes to Jira stories for full traceability.

• Support demo preparation and stakeholder reviews by ensuring system components perform predictably and meet mission expectations.

• U.S. Citizenship and the ability to obtain a TS/SCI clearance.
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

• 3+ years of experience in software development (enterprise or mission-critical environment preferred).

• Proficiency in at least one modern language such as Python, TypeScript/JavaScript, or Java, with exposure to both front-end and back-end ecosystems.

• Experience developing and consuming RESTful APIs and working with structured/unstructured data (e.g., JSON, XML, CSV).

• Familiarity with Git, Jira, Confluence, and standard agile collaboration workflows.

• Experience implementing automated testing frameworks and CI/CD integration.

• Understanding of containerized development environments (Docker or similar).

• Security-conscious mindset and awareness of DoD compliance expectations (CUI/IL4/Zero Trust).

• Strong communication and problem-solving skills.

Preferred Qualifications

• Experience supporting DoD or federal data-modernization initiatives.

• Exposure to cloud environments (AWS, Azure, or GovCloud) and Infrastructure-as-Code (Terraform/CloudFormation).

• Experience working with metadata tagging, data lineage, or governance systems.

• Understanding of Zero Trust data principles and access control (ABAC, RBAC).