Software Developer – Modernization

🕒 August 25

🇺🇸 United States – Remote

💵 $98.5k - $206.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Modernize mission-critical legacy applications while maintaining business continuity and interoperability • Design, build, test, and deploy modern application and AI-enabled capabilities • Enhance and refactor legacy applications and databases • Build cloud-hosted services, APIs, automation, microservices, and cloud-native components • Develop production-ready AI capabilities for information access, workflow automation, and decision support • Build and maintain an integrated data layer using APIs, events, reusable data services, canonical models, and transformation components • Implement interoperability through synchronous APIs, asynchronous messaging, events, batch processing, and change-data patterns • Implement data mapping, validation, transformation, lineage, reconciliation, synchronization, error handling, and auditability • Integrate foundation models and machine-learning services using prompt orchestration, embeddings, vector search, tools, and model-agnostic patterns • Design versioned API, event, and data contracts • Preserve business rules and compliance controls while separating coupled application and data components • Develop resilient and secure services with authentication, authorization, encryption, secrets management, and least-privilege access • Create unit, integration, contract, regression, and performance tests • Develop AI evaluation suites and responsible AI controls • Use CI/CD, infrastructure as code, code reviews, automated security scanning, and feature controls • Instrument systems with logging, metrics, tracing, health checks, alerts, and dashboards • Troubleshoot defects across applications, data flows, APIs, databases, AWS, identity, networks, and deployments • Document designs, data models, mappings, contracts, migration decisions, test evidence, deployment procedures, and runbooks • Collaborate in Agile delivery with architects, developers, data engineers, DevSecOps, security, vendors, product teams, and Federal stakeholders

🎯 Requirements

• Must be able to obtain and maintain a Federal "PUBLIC TRUST" clearance; approved adjudication required prior to onboarding • 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, including legacy application enhancement or modernization, backend service development, data integration, and production support • Strong hands-on proficiency in one or more modern programming languages and associated frameworks, such as Python, Java, JavaScript/TypeScript, C#/.NET, Go, or comparable technologies • SQL, RESTful API development, automated testing, and maintainable software design • Experience engineering AI-enabled applications using foundation-model APIs or machine-learning services, including prompt design, retrieval-augmented generation, embeddings, vector search, evaluation, guardrails, and production monitoring • Ability to integrate AI services with enterprise applications and governed data while applying security, privacy, data-use, traceability, human-review, and responsible AI controls • Experience analyzing and modifying legacy code, extracting business rules, resolving technical debt, and delivering incremental modernization • Experience developing AWS-based applications using API Gateway, Lambda, ECS/EKS, SQS, SNS, EventBridge, Step Functions, DynamoDB, CloudWatch, and related capabilities • Experience implementing secure integrations using OAuth2, OpenID Connect (OIDC), SAML, JWT, or similar technologies • Strong understanding of enterprise integration patterns, API design, event-driven architectures, messaging systems, and asynchronous communication • Solid experience with relational databases such as Oracle, including data modeling, query development, SQL optimization, transactions, troubleshooting, and performance tuning • Working knowledge of NoSQL databases such as DynamoDB, MongoDB, Cassandra, 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, canonical data models, API and event contracts, mapping, transformation, validation, synchronization, lineage, and reconciliation • Experience developing, testing, troubleshooting, and supporting distributed applications across APIs, databases, cloud services, and legacy systems • Familiarity with CI/CD pipelines, automated testing, Git-based source control, DevSecOps practices, SDLC processes, agile delivery, and release management • Ability to interpret architecture guidance, interface specifications, API contracts, data mappings, user stories, acceptance criteria, and technical design documentation • Strong analytical and problem-solving skills • Strong documentation skills, including API documentation, interface specifications, data mappings, test evidence, and support handoff materials • Ability to work collaboratively with technical, product, security, vendor, and Federal stakeholders in an Agile environment • Self-motivated, adaptable, and able to operate effectively in fast-paced, dynamic environments • Experience provisioning AWS resources through infrastructure as code and deploying application changes through automated CI/CD pipelines • Ability to troubleshoot integrations across application code, APIs, AWS services, network paths, identity controls, databases, and deployment environments • Desired: platform modernization in enterprise or government environments; federal IT programs; regulated AWS environments; API documentation, gateways, data integration, ETL/ELT, queues, workflow automation, or monitoring dashboards • Cloud, agile, development, data, or security certification preferred, such as AWS Certified Developer or AWS Certified Solutions Architect – Associate • Experience with AWS Bedrock or comparable enterprise AI platforms • Experience with AI evaluation, prompt/model versioning, guardrails, monitoring, human-in-the-loop review, and mitigation of hallucination or unsafe output risks

🏖️ Benefits

• Flexible time off benefit • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits • Learning and development opportunities