via LinkedIn
$120K - 160K a year
Design and develop scalable backend services and APIs using Java/Spring Cloud and Kafka, collaborate with cross-functional teams, and drive AI adoption in development processes.
10+ years backend engineering experience with strong Java and Spring Cloud skills, microservices architecture, Kafka streaming, cloud experience (AWS/GCP), SQL/PostgreSQL knowledge, and familiarity with AI developer tools and BRMS like Drools.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Millennium Global Technologies, is seeking the following. Apply via Dice today! Position: Java Developer Experience: 10+ years Visa : on W2 or 1099 Must have skills: Java, Spring boot, Spring cloud, Microservices, Kafka, Drools, AWS, SQL/PostgreSQL Location: Plano, TX / Lehi, UT / San Francisco, CA / Remote If the candidate is nearby any of the mentioned locations, they need to work from office 2 days a week Duration: 6 months Note: Please don t consider the profiles if they don t have atleast 3 years of experience on any of the skills mentioned above in must have skills Veltris Interview Process: 2 Rounds of Technical Interview Client interview Process: 1 round of Complex Coding interview 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, AI-enabled backend systems. Qualifications: Experience: 8+ years as a Backend engineer. 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/Google Cloud Platform preferred). Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing data-intensive 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. Communication: Excellent communication skills across all levels and teams.
This job posting was last updated on 11/26/2025