Software Engineer-Java
About The Position
Join Deloitte’s AI & Engineering team to transform technology platforms, drive innovation, and help clients improve financial performance, accelerate digital ventures, and fuel growth. As a Project Software Engineer III on the Government & Public Services team, you will develop backend capabilities for a secure, AI-enabled platform that accelerates medical waiver review. The work includes designing, building, testing, and sustaining services, APIs, data pipelines, and integrations for document ingestion and AI processing, including handling machine-generated and scanned PDFs, OCR, and structured medical information extraction. You will implement workflows for case intake, role-based routing, physician and technician review, feedback capture, and secure export. You will integrate AI/ML services that identify relevant conditions, link findings to source documents, and support QUAL, WAVR, and DISQ recommendations. The platform operates in an IL4 environment and handles CUI, PII, and PHI, requiring secure authentication, authorization, encryption, and data handling. The role also supports auditability, metrics, dashboards, logging, and future connectivity with AFRISS-TF and AFRISS 2.0. You will work with AI/ML engineers, frontend developers, cybersecurity personnel, medical subject matter experts, and government stakeholders. The position includes testing, UAT support, performance tuning, documentation, deployment, sustainment, and knowledge transfer. This is part of Deloitte’s Project Delivery Talent Model: professionals deliver specialized services for a current client need, with no additional business-development or promotion expectations. Employment is tied to the project role, and the position is eligible for a benefits package competitive for project delivery-focused professionals.
Requirements
- Bachelor’s degree.
- Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future.
- 4+ years of experience in Java programming, including the language and JVM, rather than only a framework built on top of it.
- 4+ years of experience with design patterns and principles, such as Command, Strategy, and Factory, and applying them without overengineering.
- 4+ years of experience in API design, including versioning, idempotency, error handling, and tradeoffs among REST, RPC, and event-driven approaches.
- 4+ years of experience in database management, including schema design, indexing, query optimization, and transaction/isolation semantics.
- 4+ years of experience in memory management, including heap versus stack, garbage collection behavior, and diagnosing memory leaks.
- 4+ years of experience in Cyber Analytics.
- 4+ years of experience in Model Context Protocol (MCP).
- Ability to work independently and collaborate as part of a team.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams.
- Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to provide clear guidance to others.
Responsibilities
- Design and develop scalable backend services, APIs, data pipelines, and integrations for document ingestion and AI processing.
- Support processing of machine-generated and scanned PDFs, including OCR and extraction of structured medical information.
- Implement workflows for case intake, role-based routing, physician and technician review, feedback capture, and secure export.
- Integrate AI/ML services to identify relevant conditions, link findings to source documents, and support QUAL, WAVR, and DISQ recommendations.
- Build audit trails, performance metrics, dashboards, and system logging to support transparency and traceability.
- Implement secure authentication, authorization, encryption, and data handling for CUI, PII, and PHI in an IL4 environment.
- Develop APIs and integration patterns to support future connectivity with AFRISS-TF and AFRISS 2.0.
- Collaborate with AI/ML engineers, frontend developers, cybersecurity personnel, medical SMEs, and government stakeholders.
- Participate in testing, UAT support, performance tuning, documentation, deployment, sustainment, and knowledge transfer.
- Work independently and collaboratively, lead projects or workstreams, manage multiple tasks and deadlines, and provide clear guidance to others.
Benefits
- Eligible for a benefits package competitive for project delivery-focused professionals.
- May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
- Deloitte offers opportunities to build skills, take on leadership opportunities, and grow through mentorship and formal development programs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
