[Hiring] Modernization Software Developer @CACI International

Role Description

We are seeking an experienced Software Developer with hands-on software and AI engineering experience. The candidate will be responsible for modernizing mission-critical legacy applications while maintaining business continuity and interoperability with existing systems. The developer will design, build, test, and deploy modern application and AI-enabled capabilities using the programming languages, frameworks, models, and platforms best suited to each solution, such as Python, Java, JavaScript/TypeScript, C#/.NET, Go, or comparable technologies.

Responsibilities:

• Utilize AI engineering capabilities to help modernize a large-scale GrantSolutions application portfolio through phased, low-risk delivery.
• Enhance and refactor legacy applications, build new cloud-hosted services using modern languages and frameworks.
• Develop production-ready AI capabilities that improve information access, automate workflows, and augment user decision-making.
• Implement interoperability between modern, AI-enabled, and legacy capabilities through an integrated data layer.
• Translate architecture and data-governance standards into working software.
• Expose legacy capabilities safely, develop modern modules and microservices, establish consistent data contracts.
• Collaborate with Solution Architects, Product Owners, application and data teams, vendors, security teams, and Federal stakeholders.

The candidate will:

• Analyze legacy applications, data structures, interfaces, dependencies, and business rules to identify safe modernization increments.
• Enhance and refactor legacy applications and databases while developing new APIs, services, automation, and cloud-native components.
• Implement phased modernization patterns that allow modern and legacy capabilities to operate concurrently.
• Build and maintain an integrated data layer that provides consistent, governed access to shared data.
• Develop interoperability between legacy applications, modern services, vendor platforms, and analytics capabilities.
• Implement data mapping, validation, transformation, lineage, reconciliation, synchronization, error handling, and auditability.
• Design, prototype, and productionize AI capabilities such as retrieval-augmented generation, semantic search, and intelligent assistants.
• Integrate foundation models and machine-learning services with enterprise applications.
• Design versioned API, event, and data contracts that decouple consumers from legacy implementation details.
• Preserve validated business rules and compliance controls while progressively separating tightly coupled application and data components.
• Develop resilient services using retries, timeouts, idempotency, and failure-recovery mechanisms.
• Implement secure authentication, authorization, encryption, and least-privilege access.
• Create unit, integration, contract, regression, and performance tests.
• Develop AI evaluation suites and operational controls for various risks.
• Implement responsible AI controls, including guardrails, traceability, and audit logging.
• Use CI/CD pipelines, infrastructure as code, and automated security scanning.
• Instrument application and data flows with centralized logging, metrics, and operational dashboards.
• Troubleshoot defects across application code, data flows, APIs, and deployment environments.
• Document code design, data models, mappings, and operational runbooks.
• Collaborate in Agile delivery with various teams and stakeholders.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum of FIVE (5) to EIGHT (8) years of experience in software development.
• Strong hands-on proficiency in one or more modern programming languages and associated frameworks.
• Experience engineering AI-enabled applications using foundation-model APIs or machine-learning services.
• Ability to integrate AI services with enterprise applications and governed data.
• Experience analyzing and modifying legacy code and delivering incremental modernization.
• Experience developing AWS-based applications using various AWS services.
• Experience implementing secure integrations using OAuth2, OpenID Connect (OIDC), SAML, JWT, or similar technologies.
• Strong understanding of enterprise integration patterns, API design, and messaging systems.
• Solid experience with relational databases such as Oracle.
• Working knowledge of NoSQL databases such as DynamoDB, MongoDB, or similar.
• Ability to design and develop domain models and implement domain-driven design (DDD) principles.
• Experience building an integrated data layer using reusable data services.
• Experience developing, testing, troubleshooting, and supporting distributed applications.
• Familiarity with CI/CD pipelines, automated testing, and Agile delivery.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Ability to work collaboratively in an Agile environment.
• Self-motivated and adaptable.
• Experience provisioning AWS resources through infrastructure as code.

Requirements

• Must be able to obtain and maintain a Federal "PUBLIC TRUST" clearance.
• Candidates with an ACTIVE PUBLIC TRUST are preferred.

Benefits

• Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
• Competitive compensation and learning and development opportunities.