Full-Stack Backend / Platform Engineer

We are looking for a hands-on Full-Stack Backend / Platform Engineer to design and develop the core application and platform capabilities supporting the CWS and GenAI-enabled analytics ecosystem. The candidate will focus primarily on backend services, APIs, platform integration, application services, and enterprise system integration, while having sufficient frontend skills to support the full-stack platform., * Design and develop scalable backend services and APIs.

• Build application services to support the CWS and self-service analytics platform.
• Integrate GenAI capabilities into enterprise applications through APIs and microservices.
• Develop services for:

oUser management oDataset discovery oQuery execution oSQL/code generation oJob orchestration oData validation oDashboard integration

• Build secure REST APIs and microservices.
• Integrate with AWS data and analytics services.
• Develop backend workflows for moving validated ad hoc solutions into production processes.
• Develop frontend components as required to support platform workflows.
• Implement authentication, authorization, and role-based access control.
• Write unit, integration, and automated tests.
• Collaborate with GenAI, Data, Architecture, and DevOps teams.
• Participate in code reviews and technical design discussions., Job Summary (List Format): Senior Full-Stack Engineer (Java/J2EE & AI/ML) - Design and develop enterprise-grade backend systems using Java/J2EE (Spring, Spring Boot, RESTful serv…
• 1 day ago
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• 6 10+ years of full-stack software development experience.
• Strong backend development experience with one or more:

oJava / Spring Boot o.NET / .NET Core oPython / FastAPI

• Strong experience building REST APIs and microservices.
• Strong knowledge of SQL and relational databases.
• Experience with cloud-native applications, preferably AWS.
• Experience with frontend technologies such as React or Angular.
• Experience integrating applications with GenAI/LLM APIs.
• Experience with Docker and containerization.
• Understanding of CI/CD and DevOps practices.
• Strong understanding of application security.

Preferred

• Experience with AWS Lambda, API Gateway, ECS/EKS.
• Experience with event-driven architectures.
• Experience with GenAI application integration.
• Experience with data platforms and analytics applications