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Sr. Software Engineer (Platform)

Location: Hyderabad

Work Experience: 5-12 years

Requirements:

  • Key Skills: Java, Node.JS/React.JS/Lit.JS/ Kubernetes.
  • 5+ years of minimum relevant 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.
  • Experience with lakehouse architectures, pipeline orchestration, or metadata services (Preferred).
  • Familiarity with MCP (Modular Component Platform) frontend patterns (Preferred).
  • Experience working in enterprise‑scale engineering organizations (Preferred).
  • Contributions to architectural design for complex platform systems (Preferred).

Qualifications: Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

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.