Description: NOTE : This position is open to C2C, 1099 or full-time employment. The candidate must be authorized to work in the U.S. without sponsorship (U.S. Citizen, Permanent Resident, or sponsored H1B). This is a remote opportunity; candidate must be based in the United States; ET time zone work schedule. Preference is given to candidates who are local to the Baltimore MD/Washington DC corridor.

Please be prepared to Include educational certifications, any professional certifications at the end of the resume. Before formal interviews proceed, work permit proof (H1B approval letter or GC card or DL for US citizens) will be required, in addition to 3 professional references.

Daily Responsibilities Responsible for designing, developing, and integrating intelligent services into complex enterprise applications. This includes leveraging cloud-native services in AWS, consuming or embedding AI/ML models, and delivering scalable, resilient full-stack solutions that power modern digital platforms for public sector programs such as Medicaid, SNAP, TANF, or Child Support. Design, develop, and implement complex full-stack applications using Java, Spring Boot, and modern front-end frameworks (e.g., Angular). Develop and integrate AI/ML services (e.g., NLP, recommendation, classification) into application workflows via REST or event-driven interfaces. Build and consume APIs for AI services hosted in AWS SageMaker, containerized models (ECS/Fargate), or 3rd-party intelligent services. Deploy and manage microservices in AWS environments using Lambda, API Gateway, EC2, S3, CloudFormation, ECS, and Aurora PostgreSQL. Translate AI/ML outputs into intuitive, explainable interfaces or backend decision engines supporting business logic. Integrate components using REST, SOAP, EJB, and secure web services standards. Collaborate with cross-functional teams including AI/ML engineers, DevOps, UX, and product stakeholders. Apply secure coding practices, conduct code reviews, and contribute to test-driven development pipelines. Develop reusable components, SDKs, or utilities that streamline AI feature adoption across systems. Requirements: Must be authorized to work in the U.S. without sponsorship, U.S. Citizen, Permanent Resident or sponsored H1B is acceptable. Preference given to candidates local to the Baltimore MD/Washington DC corridor. Must have 8+ years of programming experience in software development or maintenance. Must have 8+ years in Java/J2EE development, with deep experience using Spring Boot, Hibernate, JPA, and RESTful APIs. Must have 5+ years of experience in IT systems analysis and enterprise programming. Must have 3+ years of experience working with AWS cloud services, including Lambda, S3, RDS/Aurora, API Gateway, IAM, and CloudWatch. Must be fluent in Java frameworks, experienced in cloud deployments, and knowledgeable in how to incorporate AI-based APIs and models into backend services and user-facing applications Must have 2+ years of experience integrating or consuming AI/ML services, including AWS SageMaker, pre-trained models (e.g., NLP, classification), or intelligent APIs. Proficiency in Python or scripting languages for handling data flows and ML model interfacing is a strong plus. Experience developing UI components in Angular 12+, JavaScript, TypeScript, and JSON-based dynamic rendering. Knowledge of Git, Jenkins, Docker, and CI/CD pipelines. Familiarity with cloud-native DevOps, containerization, and infrastructure as code (Terraform or AWS CDK) preferred. Ability to design for accessibility (508 compliance) and secure data processing in regulated systems. Understanding of concurrency, application performance tuning, and scalable web service architecture. Good written and verbal communication skills with a history of successful collaboration across IT, operations, and business teams to plan, deploy, and support mission-critical infrastructure. Exceptional troubleshooting and analytical skills, with a focus on identifying root causes and implementing efficient solutions in complex environments. BS/BA degree in Computer Science, Information Systems, Engineering, Business or related scientific or technical discipline, or 3+ years of equivalent experience in a related field. Master’s degree is PLUS. Experience in Health & Human Services programs (i.e., IES, Child Support, Medicaid) is a PLUS.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. The C2C or 1099 rate range for this position is $51 - $72/hour. Full-time salary will be adjusted for benefits, etc.