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Senior Java Full Stack Developer - Communication Surveillance

Luxoft
Gurugram, IND
Full-time
Senior · 7–12 years experience
Discovered 2 weeks ago
• 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals.
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Key skills for this role

• 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals.
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Responsibilities

  • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, Spring MVC, and Microservices architecture. • Develop secure and high-performance REST APIs and backend services. • Implement application security using Spring Security and follow enterprise security best practices. • Develop responsive and scalable frontend applications using React.js, JavaScript (ES6+), HTML5, and CSS3. • Develop and integrate backend and frontend components to deliver end-to-end full stack solutions. • Work with Node.js for application development and integration where required. • Design and optimize database solutions using Oracle, PostgreSQL, and MySQL. • Develop complex SQL queries and perform SQL query optimization to improve application performance. • Design and implement scalable microservices and API-based integrations. • Build, deploy, and support applications across AWS and/or Azure cloud environments. • Containerize applications using Docker and deploy/manage workloads using Kubernetes. • Implement and maintain CI/CD pipelines using Jenkins and/or GitHub Actions. • Use Git for source code management and follow appropriate branching and development practices. • Perform code quality and static code analysis using SonarQube. • Collaborate with business stakeholders, compliance teams, and domain experts to translate Communication Surveillance requirements into technical solutions. • Integrate application components with AI/ML services and models where required to support surveillance and compliance use cases. • Work with data and AI/ML teams to consume and integrate ML model outputs into enterprise applications. • Ensure applications are scalable, secure, reliable, maintainable, and compliant with enterprise standards. • Troubleshoot application issues, perform root-cause analysis, and provide production support. • Participate in code reviews, technical design discussions, performance optimization, and continuous improvement activities. • Document technical designs, application architecture, APIs, deployment processes, and operational procedures.

Skills

  • 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals.

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