Java Full Stack Developer

Sunovaa Tech

Dadri

On-site

INR 1,200,000 - 1,800,000

Full time

6 days ago
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Qualifications

  • 3+ years of hands-on software engineering experience in a large corporate/enterprise environment.
  • Strong production experience with Java 8+, Spring Boot, REST APIs, and microservices.
  • Minimum 2 years of production-grade Python development.
  • Strong knowledge of SQL, stored procedures, views, database design, and query optimization.
  • Hands-on experience with system design, application development, testing, CI/CD, resiliency, security, and production support.
  • Proven professional experience using AI-assisted software development tools, such as GitHub Copilot, Cursor AI, Claude Code, Spring AI, LangChain, or equivalent.
  • Ability to evaluate, validate, refine, and secure AI-generated code and solutions.
  • Experience with Jenkins, GitHub Actions, GitLab CI, or equivalent CI/CD technologies.
  • Experience working in enterprise-scale, regulated, or highly complex technology environments.
  • Payments, banking, CIB, financial services, or other regulated-domain experience.
  • Exposure to AWS, Azure, GCP, or PCF.
  • Experience with React or Angular is an added advantage.
  • Bachelor's/Master's degree in Computer Science, Information Technology, or an equivalent engineering discipline.

Responsibilities

  • Design, develop, test, deploy, and support enterprise-grade software applications using Java 8+, Spring Boot, REST APIs, Python, and microservices.
  • Participate in the complete SDLC, including requirements analysis, application design, development, testing, deployment, production support, and continuous improvement.
  • Develop scalable and resilient applications with focus on performance, security, reliability, and operational stability.
  • Design and implement RESTful APIs, microservices, database solutions for large-scale environments.
  • Work with SQL, stored procedures, views, and query optimization to build reliable data-driven apps.
  • Implement and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or equivalent.
  • Leverage enterprise-authorized AI development tools to improve coding, testing, troubleshooting, and documentation.
  • Critically review and validate AI-generated code and outputs for correctness, performance, security, maintainability.
  • Follow responsible AI practices, handling sensitive data, security, privacy, and AI outputs appropriately.
  • Collaborate with cross-functional teams in an Agile environment.
  • Contribute to technical design, code reviews, troubleshooting, production support, and continuous engineering improvements.
  • Support applications operating in large-scale, regulated environments (payments/CIB preferred).

Skills

Java 8+
Spring Boot
REST APIs
Python
Microservices
SQL
CI/CD
AI tools
AWS/Azure/GCP
React/Angular
System design
Production support
Regulated domains

Education

Bachelor's/Master's in Computer Science/IT or equivalent engineering discipline

Tools

Jenkins
GitHub Actions
GitLab CI
GitHub Copilot
Cursor AI
Claude Code
LangChain
Spring AI

Job description

Role & Responsibilities
  • Design, develop, test, deploy, and support enterprise-grade software applications using Java 8+, Spring Boot, REST APIs, Python, and microservices.
  • Participate in the complete SDLC, including requirements analysis, application design, development, testing, deployment, production support, and continuous improvement.
  • Develop scalable and resilient applications with strong focus on performance, security, reliability, and operational stability.
  • Design and implement RESTful APIs, microservices, database solutions, and application components for large-scale enterprise environments.
  • Work with SQL, stored procedures, views, and query optimization to build and maintain reliable data-driven applications.
  • Implement and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent.
  • Leverage enterprise-authorized AI development tools and frameworks such as GitHub Copilot, Cursor AI, Claude Code, LangChain, Spring AI, or equivalent to improve coding, testing, troubleshooting, and documentation.
  • Critically review and validate AI-generated code and outputs for correctness, performance, security, maintainability, and production readiness.
  • Follow responsible AI practices, ensuring appropriate handling of sensitive enterprise data, security, privacy, and AI-generated outputs.
  • Collaborate with cross-functional teams, architects, developers, testers, and business stakeholders in an Agile environment.
  • Contribute to technical design, code reviews, troubleshooting, production support, and continuous engineering improvements.
  • Support applications operating in large-scale enterprise and highly regulated environments, with preference for Payments/CIB platforms.
Preferred Candidate Profile
  • 3+ years of hands-on software engineering experience in a large corporate/enterprise environment.
  • Strong production experience with Java 8+, Spring Boot, REST APIs, and microservices.
  • Minimum 2 years of production-grade Python development with demonstrated project-level usage.
  • Strong knowledge of SQL, stored procedures, views, database design, and query optimization.
  • Hands-on experience with system design, application development, testing, CI/CD, resiliency, security, and production support.
  • Proven professional experience using AI-assisted software development tools, such as GitHub Copilot, Cursor AI, Claude Code, Spring AI, LangChain, or equivalent.
  • Ability to evaluate, validate, refine, and secure AI-generated code and solutions rather than relying on AI output without review.
  • Experience with Jenkins, GitHub Actions, GitLab CI, or equivalent CI/CD technologies.
  • Experience working in enterprise-scale, regulated, or highly complex technology environments.
  • Payments, banking, CIB, financial services, or other regulated-domain experience is highly preferred.
  • Exposure to AWS, Azure, GCP, or PCF is preferred.
  • Experience with React or Angular is an added advantage.
  • Bachelor's/Master's degree in Computer Science, Information Technology, or an equivalent engineering discipline, with required formal software-engineering training/certification where applicable.
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