Lead Engineer - Full Stack & Data Platforms

Req. Skills : Airflow, Cloud Development, Data Engineering, Good Clinical Practice (GCP), REST, React.js, Security Automation, Spring Boot, JAVA FULL STACK DEVELOPER

Req. Exp. : 10+ Years

Job Summary

We are seeking a Lead Engineer with strong full-stack and data engineering expertise to design, build, and scale enterprise-grade applications across UI, API, batch processing, and platform integrations. The role involves leading development across Node.js-based

UI (One App components), Java/Spring ecosystems, and distributed data systems, while ensuring secure authentication, CI/CD automation, and cloud-native deployments on GCP.

Responsibilities

The ideal candidate will have hands-on experience with Spring Boot, BigQuery/BigTable, Spark/Scala, and workflow orchestration tools like Airflow/Composer. Exposure to Authblue, OneIdentity, EAG, and event-driven architectures is essential. You will also drive DevOps practices using GitHub Actions and manage deployments on GCP Hydra.

Additional responsibilities include supporting fulfillment systems (Shell scripting, Event Engine, TIMS Linux) and maintaining RPI environments on Windows VM/IIS. Strong leadership, system design, and cross-functional collaboration skills are key to success in this role.

Mandatory Skills

  • IIS
  • Java
  • Node.js
  • Spark
  • Spring Boot

Preferred Skills

  • Authentication
  • Batch Processing
  • DevOps
  • Distributed Systems
  • Leadership Mentoring
  • Platform Integration

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field

BCA / B.Tech / BE / MCA preferred

Job Description

  • Skill Set: Airflow, Cloud Development, Data Engineering, Good Clinical Practice (GCP), REST, React.js, Security Automation, Spring Boot, JAVA FULL STACK DEVELOPER
  • Total Experience: 10+ Years
  • No of Openings: 20
  • Job Post Date: 18/05/2026
  • Job Expiry Date: 26/05/2026
  • Domain: IT
  • Location: Bengaluru, India
  • Job Reference No: GIT2
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