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Senior Java Fullstack Developer

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Remote

Senior Java Fullstack Developer

ERS Information Systems

Senior Java Fullstack Developer

Skills

SQL QueriesNextE-commerce WebsitesDockerReactTypescriptJavaMicroservicesSpring BootKafkaJenkinsGrafanaAIAWSPrometheusGitHubKubernetesOracleWarehouse ManagementJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹1,800,000 / year

Location:

India

Work mode:

Remote

Published on:

24 September 2026

What they need


Senior Principal Java Full Stack Developer

Experience: 10 - 15 Years
Salary: 1518 LPA
Work Timings: 3:30 PM 12:30 AM
Employment Type: Full-time
Work Location: Coimbatore / [Specify Work Mode]

About the Role

We are looking for a Senior Principal Java Full Stack Developer with 1015 years of experience to lead the architecture, design, and development of enterprise-grade e-commerce platforms within a high-velocity Agile environment.

This is a senior technical leadership role requiring strong hands-on expertise across backend, frontend, cloud, distributed systems, event-driven architecture, and modern AI technologies.

The ideal candidate will have production-proven expertise in Modern Java, Spring Boot, Microservices, React, Angular, Kafka, AWS/Azure, and Kubernetes, along with experience integrating enterprise platforms such as Oracle Cloud WMS (LogFire).

Key Responsibilities

  • Lead the architecture, design, and implementation of scalable enterprise e-commerce platforms.
  • Drive technical excellence across both frontend and backend systems.
  • Design and develop high-throughput microservices using Java 17/21+, Spring Boot 3.x, Spring Cloud, and Spring WebFlux.
  • Build event-driven and real-time architectures using Apache Kafka.
  • Lead modern UI development using both React and Angular.
  • Design and implement Micro-Frontend architectures and Module Federation.
  • Integrate applications with Oracle Cloud WMS (LogFire) or comparable enterprise warehouse management platforms.
  • Design secure, scalable, and high-performance REST APIs and enterprise integrations.
  • Drive application performance, query optimization, memory tuning, and scalability.
  • Implement application observability using Prometheus, Grafana, and OpenTelemetry.
  • Architect and deploy cloud-native solutions on AWS and/or Azure.
  • Work with Docker, Kubernetes, Helm, CI/CD, GitHub Actions, Jenkins, and GitOps.
  • Evaluate and integrate Generative AI / LLM capabilities to improve developer productivity and customer experiences.
  • Provide technical leadership, mentor senior engineers, and contribute to engineering roadmaps.
  • Collaborate closely with Product Managers, Enterprise Architects, Solution Architects, and engineering teams.
  • Establish coding standards, architectural guidelines, and engineering best practices.

Required Technical Skills

Backend & Microservices

  • Strong expertise in Core Java 17/21+
  • Spring Boot 3.x, Spring Cloud, Spring Security
  • Spring WebFlux & Reactive Programming
  • Microservices architecture
  • Hibernate 6.x / JPA
  • REST APIs
  • SQL / NoSQL databases
  • Query optimization and memory tuning

Frontend

  • Strong hands-on experience in BOTH React and Angular
  • Angular 16+
  • RxJS, NgRx, Signals
  • React Hooks, Context API, Redux Toolkit
  • Next.js
  • TypeScript
  • Modern JavaScript / ESNext
  • Micro-Frontend architecture
  • Module Federation

Event-Driven Architecture

  • Apache Kafka
  • Kafka Streams
  • Schema Registry
  • Kafka Connect
  • KSQL
  • Real-time event processing and event-driven systems

Enterprise Integration

  • Oracle Cloud WMS (LogFire) or similar Tier-1 WMS platforms
  • Enterprise application integration
  • API-based integrations
  • Distributed systems

Cloud & DevOps

  • Advanced architecture experience in AWS and/or Azure
  • Docker
  • Kubernetes
  • Helm
  • GitHub Actions
  • Jenkins
  • GitOps
  • CI/CD pipelines

Performance & Observability

  • JMeter
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Performance benchmarking and optimization

AI / Generative AI

  • Working knowledge of Generative AI / LLM integration
  • OpenAI APIs or similar LLM APIs
  • LangChain
  • Vector databases such as pgvector
  • AI-assisted engineering and productivity solutions

Leadership & Architecture

  • Proven experience leading technical architecture and engineering roadmaps
  • Ability to translate complex business requirements into scalable technical solutions
  • Experience mentoring and guiding senior engineering professionals
  • Strong collaboration with Product Managers and Enterprise Architects
  • Excellent problem-solving and communication skills
  • Strong understanding of Agile methodologies and high-velocity engineering environments
  • Ability to remain hands-on while providing technical direction and architectural leadership.

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