Full Stack Java Developer with AI

Role Overview We are building a new, highly secure, fault-tolerant application in Microsoft Azure to support high-volume data ingestion, ledger-based recordkeeping, and analytics reporting for a small, controlled user base (<10 users). This system will orchestrate reliable, persistent API-driven workflows between internal clients and external partner organizations, ensuring zero data loss, strong consistency, and regulatory-grade security. While this is a full-stack role (Java / Angular), the backend is the priority. The ideal candidate is comfortable owning distributed systems design, resiliency patterns, and cloud-native architecture, while still being capable of contributing to the Angular front end when needed. Important: The project has aggressive and sometimes unreasonable timeline expectations. We are specifically looking for engineers who are comfortable operating in that reality and using AI-assisted development tools to accelerate delivery. Key Responsibilities Backend & Systems Engineering (Primary) Design and build Java / Spring Boot microservices deployed to Azure Kubernetes Service (AKS) Implement high-volume, fault-tolerant data processing pipelines with strong delivery guarantees Ensure persistent, reliable input delivery so clients never need to resend data Build and maintain ledger-style recordkeeping services handling confidential datasets Orchestrate API-based service calls between internal systems and partner organizations Design for multi-region Azure deployments with: = 10-minute RPO (targeting near-zero) = 1-hour RTO Implement caching and buffering strategies: Initial: Azure Blob Storage Roadmap: Kafka (event streaming) and Redis (in-memory caching) Front End (Secondary) Contribute to an Angular front end used by a small number of internal users Support analytics and reporting views Collaborate with backend services for secure data access Cloud, Reliability & Security Design for geo-distributed resiliency, queuing, and persistence Apply Azure-native services for storage, caching, and messaging Build systems aligned with U.S. Government security standards, including: Familiarity with NIST 800-53 Understanding of Moderate / High security control environments Support production deployments and operational readiness AI-Augmented Development (Required) Actively use or have experience with AI-assisted / agentic coding tools Current environment is standardized on Windsurf, using Claude Sonnet 45 Experience may be: Professional or personal Coding agents, copilots, or AI-driven refactoring / testing tools Candidates must be able to articulate how AI meaningfully improves their engineering workflow Required Qualifications Strong experience with Java and Spring Boot Experience building and operating cloud-native applications in Azure Hands-on experience with AKS / Kubernetes Experience with distributed systems, fault tolerance, and high-volume data processing Knowledge of persistent messaging, queuing, and caching patterns Familiarity with Angular (full-stack capability strongly preferred) Experience working with confidential or regulated data Demonstrated use of AI tools in software development Preferred / Nice-to-Have Kafka, Redis, or other event-streaming platforms Oracle databases (small footprint) Multi-region Azure architecture Analytics/reporting system experience Prior work in government, regulated, or high-security environments Experience working under tight timelines with evolving requirements Education: Bachelors Degree