Software Developer – Modernization

CACI International Inc

Modernization Software Developer modernizing CACI’s federal GrantSolutions application portfolio. Building AWS services, integrated data layers, and responsible AI capabilities.

Posted 8/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $98,500 - $206,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in modernizing legacy applications and developing AI-enabled capabilities while ensuring compliance and security. Proficient in building cloud-hosted services, APIs, and integrated data layers using modern programming languages and frameworks.

Highest-signal resume keywords

AWS Application DevelopmentAI-Enabled Application EngineeringAPI Design and DevelopmentLegacy Code ModernizationCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaJavaScriptC#SQLRESTful API DevelopmentData IntegrationAutomated TestingDomain-Driven DesignMicroservices

Soft Skills

Analytical SkillsProblem-Solving SkillsDocumentation SkillsCollaboration SkillsAdaptability

Tools & Technologies

AWSDynamoDBAPI GatewayLambdaGitDevSecOpsAgile MethodologiesEvent-Driven ArchitectureOAuth2OpenID Connect

Certifications & Qualifications

AWS Certified DeveloperAWS Certified Solutions Architect – Associate

Industry Keywords

Federal IT ProgramsRegulated AWS EnvironmentsEnterprise Integration PatternsData MappingWorkflow Automation

Tech Stack

Tools & technologies

AWSCassandraCloudDynamoDBETLGoJavaJavaScriptMicroservicesMongoDB.NETNoSQLOraclePythonSDLCSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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