Software Engineer

     Position : Back-end Software Development Engineer
Experience : 6+ Years
Location : Chennai 
Work Type : Full Time 

Role Summary : 

We are seeking an experienced Software
Engineer with strong expertise in Java Full-Stack Development, API
Design, Google Cloud Platform (GCP), Cloud SQL/PostgreSQL, and exposure to Big
Data 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.