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ull Stack Developer (UI + Backend), GCP & AI, AVP

VettedBench
Posted 13 days ago
IN35+ yrsOn-site

About this role

As part of the team Technology, Data and Innovation (TDI) organization, you will build next-generation solutions for the Transaction Monitoring and Data Controls domain. This role emphasizes engineering excellence, agile delivery, cloud modernization, and AI-driven automation. You will leverage your strong full-stack expertise across both UI development and backend engineering.

Key Responsibilities:

  • Build and deliver end-to-end solutions across frontend UI and backend services.
  • Develop responsive, reusable, and accessible user interfaces for business-critical workflows.
  • Design and implement Java-based microservices and REST APIs using Spring Boot.
  • Integrate frontend applications with backend services, event streams, and data platforms.
  • Develop cloud-native applications on GCP (App Engine, GKE, Cloud Run).
  • Build event-driven and data-processing pipelines using Kafka and Spark.
  • Contribute to LLM/Agentic AI and RAG-based automation use cases.
  • Drive application performance, resiliency, fault tolerance, observability, and security best practices.
  • Collaborate with Cloud Platform, Security, Data, Risk, and Compliance teams to deliver enterprise-grade solutions.
  • Promote code quality, reuse, and engineering standards across globally distributed teams.

Required Skills & Qualifications:

  • Strong hands-on experience in both UI and backend development.
  • Backend: Java (8/11/17+), Spring Boot, Microservices, transactional databases.
  • Frontend/UI: React or Angular, TypeScript/JavaScript, responsive design, component-based architecture, API integration.
  • Experience with REST APIs, event-driven architecture, and Kafka.
  • Exposure to Java data processing frameworks such as Apache Spark.
  • Proven experience with GCP services such as App Engine, GKE, and Cloud Run.
  • Experience building scalable, high-volume applications with performance tuning and resilience engineering.
  • Familiarity with at least one data storage technology (e.g., Oracle, BigQuery).
  • Experience with CI/CD tools such as TeamCity, Jenkins, or GitHub Actions.
  • Strong verbal and written communication skills, with experience in global collaboration.
  • Practical experience in LLM-based application development and Agentic AI frameworks (LangChain, Google ADK, CrewAI).

Experience:

  • Minimum of 5 to 8 years in full-stack development and cloud solutions.

What we offer:

  • Training and development to help you excel in your career.
  • Coaching and support from experts in your team.
  • A culture of continuous learning to aid progression.
  • A range of flexible benefits that you can tailor to suit your needs.
Applications are read by our talent team, usually within two working days. If you look like a fit we will call you, and you will hear from us either way.

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