<p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">About the Role</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">We are seeking an experienced Backend Engineer to design and develop scalable, secure, and configurable platform services that power our Cost Containment solutions.
The ideal candidate will have a strong background in Java, Spring Cloud, microservices, and cloud-native systems, with hands-on experience leveraging AI-powered developer tools to drive efficiency and innovation.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">Back End Engineer</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">Location: Lehi, UT | Plano, TX | San Francisco, CA</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">8+ yrs experience</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px"> </p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-bottom:11px">Responsibilities: Design and develop scalable, secure, and configurable platform services for the Cost Containment team.
Develop and support backend services to support components across backend (Java/Spring Cloud), integration platforms (Kafka, Mulesoft).
Utilize working knowledge of AI-powered developer tools (e.g., Copilot, Cursor) and actively contribute to AI adoption in development and operational aspects.
Build and enrich APIs and data services to integrate with partners and our claims engine.
Collaborate with product managers, operations analysts, and data teams in building solutions that leverage Business Rules Management Systems (BRMS) like Drools etc.
Actively work with the operations team to create efficient processes through automations to improve SLAs. Understand architectural decisions and actively drive reusable patterns for cloud-native, AIenabled backend systems.
Qualifications: Backend Engineering: Strong proficiency in Java & Spring Cloud, with a deep understanding of microservices architecture and Kafka streaming.
AI Tools: Regular use of AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf).
Cloud: Extensive experience with Cloud Technologies (AWS/GCP preferred).
Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing dataintensive services.
Rules Engines: Nice to have experience in working with Business Rules Management Systems (BRMS) like Drools, Kogito etc.
Systems Development: Prior experience in building, launching, and maintaining complex systems.
Team Collaboration: Work closely with cross-functional teams, including developers, and product managers, to gather requirements and ensure solutions meet business needs.</p>