Jobs → Engineering → Senior Full Stack Java Developer

Senior Full Stack Java Developer

Mohammad NazimUnited StatesSENIORPosted 11d ago
JavaSpring BootAngularAWSMicroservicesGenerative AISpringPostgreSQLSQLMongoDBSpark SQLJavaScriptJUnitSeleniumCypressPlaywrightDockerTerraformCloudFormationKiroGitHub CopilotGitLab CI/CD
About the Role We are looking for an experienced Senior Full Stack Java Developer with strong expertise in Java, Spring Boot, Angular, AWS, Microservices, and AI-augmented software development. The ideal candidate will have a proven track record of building enterprise-grade applications and leveraging Generative AI tools to improve productivity, code quality, and delivery efficiency. Key Responsibilities • Design, develop, and maintain scalable full-stack applications supporting enterprise and regulatory operations. • Identify technical risks, resolve cross-team dependencies, and proactively address challenges impacting project delivery. • Build and maintain enterprise-grade microservices and RESTful APIs using Java, Spring, and Spring Boot. • Apply Generative AI tools across the SDLC to improve development speed, code quality, testing, and documentation. • Optimize application performance, database queries, and infrastructure to reduce maintenance costs. • Contribute to CI/CD pipeline improvements, containerization, and DevOps best practices. Requirements • 13+ years of experience with Java, Spring Framework, and Spring Boot • Expert-level knowledge of microservices architecture and RESTful API development • Database design and query optimization skills with PostgreSQL, SQL, MongoDB, and Spark SQL • Angular and JavaScript for frontend development • Experience with testing frameworks like JUnit, Selenium, Cypress, or Playwright • Familiarity with AWS EC2, ECS, Fargate, S3, RDS, Lambda, and EMR • CI/CD pipelines and GitLab CI/CD experience • Docker and infrastructure as code knowledge • Terraform and CloudFormation experience • Hands-on experience with Kiro, GitHub Copilot, or equivalent GenAI tools • Familiarity with AI/ML modeling concepts and integrating AI capabilities into applications

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