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. Participate in code reviews, technical discussions, troubleshooting, and continuous improvement initiatives.