Teams at Bellese Technologies

Develops scalable data and software systems using Python and Apache Spark. Designs APIs, data models, ETL workflows, orchestration, and data interactions while optimizing performance, scalability, integrity, and security. Builds user interfaces, contributes to automated testing, applies Agile practices, and supports CI/CD delivery. The role requires strong software engineering, distributed computing, analytical, and communication skills, with AWS, R, Databricks, and SAS experience preferred.

Develop winning technical and business solutions for Federal Government opportunities. Lead solution design, capture strategy, proposal content, demonstrations, presentations, and white papers while coordinating technical and domain experts. Translate client needs into feasible, innovative approaches involving Agile, human-centered design, DevSecOps, cloud architecture, APIs, data-intensive systems, and healthcare interoperability. Engage senior customers, lead cross-functional teams, and shape solutions aligned with client priorities and organizational strategy.

Develop and maintain full-stack features for CMS’s Unified Case Management system. Responsibilities include building Java and Spring Boot backend services, APIs, data models, Angular or React interfaces, database interactions, and automated tests using test-driven development. The engineer will optimize performance, scalability, security, and data integrity; collaborate on system design and integration; reduce technical debt; and support teammates in a remote-first environment.