Source description
About the role
Job Description: Backend Platform Engineering Architect and develop highly scalable backend services using Java and Node.js. Design and optimize microservices deployed on Kubernetes, with a strong emphasis on reliability, observability, and container native best practices. Build APIs, data services, and orchestration layers supporting analytics pipelines and interactive workloads. Implement secure, multi tenant service capabilities for analytics to compute, metadata management, and platform integrations. Partner with SRE/DevOps on CI/CD, deployment automation, and performance tuning. Analytics Platform Development Contribute to the design of core components enabling ingestion, transformation, lineage, quality, and metadata-driven analytics. Build backend integrations with lakehouse, pipeline orchestration, and data catalog systems. Drive architectural decisions that ensure scalability for high volume data workloads and real time analytics features. MCP Frontend Engineering Build modern, modular UI components for the Analytics Platform using Lit.js, React, and the MCP design system. Collaborate with UX to deliver intuitive user experiences for analytics workflow creation, monitoring, troubleshooting, and governance. Implement client side data visualization and interactive interfaces for pipeline insights, schema views, and usage metrics. Collaboration Leadership Work cross functionally with product managers, data engineers, architects, and platform teams. Lead design reviews, contribute to platform architecture, and mentor junior engineers. Champion engineering best practices across code quality, testing, observability, and secure development.
More at NexTurn