**This position follows our hybrid-friendly schedule, balancing flexibility with collaboration. In-office expectations are 2–3 days per week, averaging 10–12 days per month in our St. Petersburg, FL Corporate Office.** **Responsibilities:** + Lead by example as a hands-on engineer, writing production-grade Java code and driving engineering best practices. + Design and develop modern Spring Boot and Spring Batch services that transform, validate, and orchestrate data pipelines. + Build upstream services that integrate with enterprise document composition systems (OpenText Exstream, JasperSoft, MessagePoint). + Reverse-engineer legacy .NET workflows and re-architect them into scalable, maintainable Java-based solutions. + Develop and maintain RESTful APIs that support data ingestion, document creation requests, archival processes, and document retrieval. + Engineer high-throughput data-processing pipelines capable of handling diverse file formats (fixed-width, Tandem, CSV, XML). + Contribute to the team’s longer-term shift from VM-based deployments toward microservice- and Kubernetes-ready architectures. + Apply generative AI tools to improve developer productivity and integrate AI-driven classification/validation into document workflows. + Implement robust logging, monitoring, and observability using Splunk, Datadog, and Dynatrace. + Collaborate with business analysts, partner development teams, and enterprise architects in an Agile environment. + Contribute to technical strategy, participate in design reviews, and support limited Tier-3 production troubleshooting. **Skills & Qualifications:** + Deep, hands-on expertise with Java, Spring Boot, and Spring Batch. + Strong experience modernizing legacy systems and re-engineering complex workflows. + Proficiency in data transformation and processing of fixed-width, CSV, XML, and similar structured data formats. + Experience building high-volume data pipelines. + Solid understanding of RESTful API design, integration patterns, and service-to-service communication. + Experience using monitoring and observability tools (Splunk, Datadog, Dynatrace). + Exposure to generative AI tools (GitHub Copilot, ChatGPT, Gemini) for coding, classification, or enrichment. + Background in financial services or regulated industries is a strong plus. + Strong grasp of Agile practices and CI/CD pipelines (Jenkins). + Excellent problem-solving, communication, and collaboration skills, especially in modernization environments. **Preferred Qualifications:** + Familiarity with enterprise composition/ECM tools (OpenText Exstream, MessagePoint, JasperSoft). + Experience with archival systems (e.g., Mobius) or similar document/records repositories. + Familiarity with containerization and orchestration (Docker, Kubernetes). + Experience with DevOps tools (Jenkins, Git, Terraform, GitHub Actions). + Proven ability to influence architectural direction and lead technical initiatives.