Position

Back-end Software Development Engineer

Experience

6+ Years

Location

Chennai

Work Type

Full Time

Role Summary

We are seeking an experienced

SoftwareEngineer

with strong expertise in

Java Full-Stack Development, APIDesign, Google Cloud Platform (GCP), Cloud SQL/PostgreSQL

, and exposure to

BigData and AI tools

. The ideal candidate will design, develop, and maintain scalable, secure, and cloud-native applications while integrating modern data-processing and AI capabilities. Employees in this role develop and maintain the

back-end/server-side components

of applications, including APIs, databases, microservices, and business logic. They work with various programming languages, frameworks, and cloud technologies to build and maintain services across on-premises and cloud environments.

Required Skills

-

Java Full-Stack Development

• Java - Spring Boot / Spring MVC - RESTful API Development - GraphQL - Google Cloud Platform (

GCP

) - GKE - Cloud Run - Pub/Sub - IAM - PostgreSQL - Cloud SQL - Microservices - Docker - Kubernetes - CI/CD

Experience Required

-

Total IT Experience

6+ years -

Software Development Experience

4+ years - Minimum

5+ years of experience in Java/Spring Boot and Full-Stack Development

• Proficiency in at least

two programming

### Requirements

Key Responsibilities

• Design, develop, and maintain full-stack enterprise applications using

Java, Spring Boot, and Angular/React

• .
• - Build scalable and maintainable backend services and microservices.
• - Design and implement secure, well-documented

RESTful APIs and GraphQL APIs

• .
• - Implement authentication and authorization using

OAuth2 and JWT

• .
• - Architect, deploy, and manage applications on

GCP

• , including GKE, Cloud Run, and App Engine.
• - Design and optimize

PostgreSQL databases on Cloud SQL

• , including indexing, query tuning, replication, and performance optimization.
• - Build and maintain data pipelines using

BigQuery, Dataflow, or Dataproc

• for large-scale data processing.
• - Process and analyze large datasets to support analytics and business reporting.
• - Integrate AI/ML capabilities using

Vertex AI, Claude AI, Cursor AI, Open Code AI, LLM APIs

• , or other generative AI technologies.
• - Identify opportunities to use AI to automate business processes and improve application efficiency.
• - Implement and maintain

CI/CD pipelines

• using Cloud
• Build, Jenkins, or similar tools.
• - Use

Docker and Kubernetes

• to containerize and manage applications.
• - Implement Infrastructure as Code using

Terraform

• .
• - Ensure application security, scalability, reliability, and performance.
• - Collaborate with cross-functional Agile teams to plan and deliver features within timelines.
• - Mentor and guide junior software engineers.
• Participate in code reviews, technical discussions, troubleshooting, and continuous improvement initiatives.