All fields marked * are required
Hyderabad/Bangalore
5 to 12 years of relevant experience in Java, Kubernetes and Node.JS/React.JS/Lit.JS focused roles.
We are building the next‑generation Analytics Platform that powers large‑scale data Ingestion, processing, and interactive analytics across our products. As a Senior Software Engineer in Analytics Platform Development, you will design and build distributed backend services, scalable microservice architectures, and elegant, high‑performance user experiences for internal and external analytics workflows. This role requires strong backend engineering expertise in Java, distributed systems experience on Kubernetes, and modern full‑stack proficiency with Node.js and component‑driven MCP frontend frameworks such as Lit.js and React. You will work closely with platform engineering, data engineering, and product teams to deliver reliable, secure, and intuitive solutions that support mission‑critical analytics use cases.
Responsibilities
• Backend & Platform Engineering
• Architect and develop highly scalable backend services using Java and Node.js.
• Design and optimize microservices deployed on Kubernetes, with 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 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.
Qualifications Required
• 8+ years of experience in backend or platform engineering roles.
• Strong proficiency in Java (preferred) and Node.js for large‑scale backend development.
• Hands‑on experience with Kubernetes, containerization, microservices, and distributed systems.
• Frontend engineering experience with React, Lit.js, or other component‑based frameworks.
• Experience building analytics platforms, data infrastructure, or large‑scale distributed systems.
• Knowledge of REST, gRPC, streaming, caching, and event‑driven architectures.
• Excellent debugging, performance tuning, and problem‑solving skills.
Preferred Skills
• Experience with lakehouse architectures, pipeline orchestration, or metadata services.
• Familiarity with MCP (Modular Component Platform) frontend patterns.
• Experience working in enterprise‑scale engineering organizations.
• Contributions to architectural design for complex platform systems.
JD-2
Senior Software Engineer, Metadat
Required
Preferred
All fields marked * are required
Hyderabad/Bangalore
5 to 12 years of relevant experience in Java, Kubernetes and Node.JS/React.JS/Lit.JS focused roles.
We are building the next‑generation Analytics Platform that powers large‑scale data Ingestion, processing, and interactive analytics across our products. As a Senior Software Engineer in Analytics Platform Development, you will design and build distributed backend services, scalable microservice architectures, and elegant, high‑performance user experiences for internal and external analytics workflows. This role requires strong backend engineering expertise in Java, distributed systems experience on Kubernetes, and modern full‑stack proficiency with Node.js and component‑driven MCP frontend frameworks such as Lit.js and React. You will work closely with platform engineering, data engineering, and product teams to deliver reliable, secure, and intuitive solutions that support mission‑critical analytics use cases.
Responsibilities
• Backend & Platform Engineering
• Architect and develop highly scalable backend services using Java and Node.js.
• Design and optimize microservices deployed on Kubernetes, with 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 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.
Qualifications Required
• 8+ years of experience in backend or platform engineering roles.
• Strong proficiency in Java (preferred) and Node.js for large‑scale backend development.
• Hands‑on experience with Kubernetes, containerization, microservices, and distributed systems.
• Frontend engineering experience with React, Lit.js, or other component‑based frameworks.
• Experience building analytics platforms, data infrastructure, or large‑scale distributed systems.
• Knowledge of REST, gRPC, streaming, caching, and event‑driven architectures.
• Excellent debugging, performance tuning, and problem‑solving skills.
Preferred Skills
• Experience with lakehouse architectures, pipeline orchestration, or metadata services.
• Familiarity with MCP (Modular Component Platform) frontend patterns.
• Experience working in enterprise‑scale engineering organizations.
• Contributions to architectural design for complex platform systems.
JD-2
Senior Software Engineer, Metadat
Required
Preferred