4Bell Technology
Senior Software Engineer – Analytics Platform Development(R-1491)
1,200,000.00-1,600,000.00/A
Any Degree
IT (Information Technology)
Contract
Hyderabad
02-Jun-2026
Job Description
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.