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.