Backend Developer Lead - Bangalore/Chennai

Larsen & Toubro (L&T)

Chennai, Bengaluru

On-site

INR 1,200,000 - 2,100,000

Full time

3 days ago
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Job summary

Larsen & Toubro (L&T) seeks an experienced Backend Developer in Chennai with 5–8 years of Java/Spring Boot expertise to build enterprise-grade applications. You will design microservices, REST APIs, and scalable data flows.

Collaborate with AI/ML and data teams to embed intelligent services, while optimizing performance, security and deployment automation in a Kubernetes-based environment.

Qualifications

  • 5–8 years of backend development experience.
  • Strong in Java (8+), Spring Boot and Spring ecosystem.
  • REST APIs, JSON, HTTP and microservices design.
  • Experience with SQL and NoSQL databases.
  • CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
  • Docker, Kubernetes and container orchestration.
  • Cloud platforms (AWS, Azure or GCP).
  • Unit and integration testing (JUnit, Mockito).

Responsibilities

  • Design, develop and maintain enterprise applications using Java, Spring Boot and Microservices, apply domain-driven design and well-defined service boundaries.
  • Develop scalable REST APIs and integrate with internal and external enterprise systems.
  • Design and implement event-driven workflows using messaging platforms.
  • Collaborate with AI/ML and data teams to integrate models and intelligent services into business workflows.
  • Optimize services for performance, security, resilience and horizontal scalability.
  • Work on data persistence, caching, and service orchestration layers.
  • Participate in design reviews, peer code reviews, CI/CD setup, and deployment automation using tools.
  • Build and maintain CI/CD pipelines and deployment automation; containerize services and deploy to Kubernetes.
  • Implement enterprise-grade exception handling, logging, security, observability and configuration management.
  • Use AI coding platforms such as GitHub Copilot, Claude Code, Cursor or equivalent enterprise-approved AI development tools for software engineering activities.

Skills

Java 8+
Spring Boot
Microservices
REST APIs
SQL
NoSQL
CI/CD
Docker
Kubernetes
Cloud platforms
JUnit
Mockito
GitHub Actions

Tools

Jenkins
GitHub Actions
GitLab CI
Docker
Kubernetes
GitHub Copilot

Job description

Backend Developer Java, Spring


Hands-on Backend and Frontend Developers with 5 -8 years of experience The ideal candidates will be experts in their respective domainsJava/Spring for Backend, and modern JavaScript frameworks (React/Angular) for Frontendwith a keen interest in working with AI-driven systems .


Key Responsibilities:


  • Design, develop and maintain enterprise applications using Java, Spring Boot and Microservices, apply domain-driven design and well-defined service boundaries
  • Develop scalable REST APIs and integrate with internal and external enterprise systems
  • Design and implement event-driven workflows using messaging platforms
  • Collaborate with AI/ML and data teams to integrate models and intelligent services into business workflows
  • Optimize services for performance, security, resilience and horizontal
  • Work on data persistence, caching, and service orchestration layers
  • Participate in design reviews, peer code reviews, CI/CD setup, and deployment automation using tools
  • Build and maintain CI/CD pipelines and deployment automation; containerize services and deploy to Kubernetes
  • Implement enterprise-grade exception handling, logging, security, observability and configuration management
  • Use AI coding platforms such as GitHub Copilot, Claude Code, Cursor or equivalent enterprise-approved AI development tools for software engineering activities.

Must-Have Skills:


  • 5- 8 years of backend development experience
  • Strong in Java (8+), Spring Boot, and Spring Ecosystem
  • REST APIs, JSON, HTTP and microservices design
  • Experience with SQL and NoSQL databases
  • CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
  • Docker, Kubernetes, and container orchestration
  • Cloud platforms (AWS, Azure, or GCP)
  • Unit and integration testing (JUnit, Mockito)

Good-to-Have Skills:


  • Experience integrating AI/ML models
  • Kafka, RabbitMQ, or event-driven systems
  • GraphQL, OAuth2/JWT security
  • Monitoring/observability tools (ELK, Prometheus, Grafana)
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