Senior Java Full Stack Software Engineer Analytics Platform Development

As a Senior Java Full Stack Software Engineer in the Analytics Platform Development team, you will be responsible for designing and building scalable backend services using Java or Node.js. You will architect microservices on Kubernetes with a strong focus on reliability and performance. Your role will involve developing APIs, data services, and orchestration layers for analytics workloads. Additionally, you will build modern UI components using React, Lit.js (MCP architecture), or Angular. Collaborating with SRE/DevOps for CI/CD, performance tuning, and deployments will be an essential part of your responsibilities. Your expertise will be crucial in driving architecture decisions for high-volume and real-time analytics systems. Key Responsibilities: - Design and build scalable backend services using Java or Node.js - Architect microservices on Kubernetes with a focus on reliability & performance - Develop APIs, data services, and orchestration layers for analytics workloads - Build modern UI components using React / Lit.js (MCP architecture) / Angular - Work on data ingestion, transformation, lineage & metadata-driven analytics - Collaborate with SRE/DevOps for CI/CD, performance tuning & deployments - Drive architecture decisions for high-volume & real-time analytics systems Qualifications Required: - 7+ years of experience in backend/platform engineering with strong expertise in Java or Node.js - 2+ years of hands-on experience with Kubernetes, microservices & distributed systems - 3+ years of hands-on experience with React / Lit.js or similar frontend frameworks - Knowledge of REST, gRPC, event-driven architecture, streaming & caching - Strong problem-solving & performance optimization skills The company you will be working with is building a next-generation Analytics Platform that powers large-scale data ingestion, processing, and real-time analytics. This is a great opportunity for you if you enjoy working on distributed systems, Kubernetes, and modern full-stack technologies. If you have experience with lakehouse, data pipelines, metadata systems, MCP (Modular Component Platform), and large-scale enterprise platforms, it would be considered a plus. Join us in creating high-impact analytics systems at scale! As a Senior Java Full Stack Software Engineer in the Analytics Platform Development team, you will be responsible for designing and building scalable backend services using Java or Node.js. You will architect microservices on Kubernetes with a strong focus on reliability and performance. Your role will involve developing APIs, data services, and orchestration layers for analytics workloads. Additionally, you will build modern UI components using React, Lit.js (MCP architecture), or Angular. Collaborating with SRE/DevOps for CI/CD, performance tuning, and deployments will be an essential part of your responsibilities. Your expertise will be crucial in driving architecture decisions for high-volume and real-time analytics systems. Key Responsibilities: - Design and build scalable backend services using Java or Node.js - Architect microservices on Kubernetes with a focus on reliability & performance - Develop APIs, data services, and orchestration layers for analytics workloads - Build modern UI components using React / Lit.js (MCP architecture) / Angular - Work on data ingestion, transformation, lineage & metadata-driven analytics - Collaborate with SRE/DevOps for CI/CD, performance tuning & deployments - Drive architecture decisions for high-volume & real-time analytics systems Qualifications Required: - 7+ years of experience in backend/platform engineering with strong expertise in Java or Node.js - 2+ years of hands-on experience with Kubernetes, microservices & distributed systems - 3+ years of hands-on experience with React / Lit.js or similar frontend frameworks - Knowledge of REST, gRPC, event-driven architecture, streaming & caching - Strong problem-solving & performance optimization skills The company you will be working with is building a next-generation Analytics Platform that powers large-scale data ingestion, processing, and real-time analytics. This is a great opportunity for you if you enjoy working on distributed systems, Kubernetes, and modern full-stack technologies. If you have experience with lakehouse, data pipelines, metadata systems, MCP (Modular Component Platform), and large-scale enterprise platforms, it would be considered a plus. Join us in creating high-impact analytics systems at scale!