Java Developer

Whiz Global LLC; Plano (TX); Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

Whiz Global LLC is seeking a skilled Java Developer to design, develop, test, and maintain scalable enterprise applications. The role requires hands-on Java/J2EE, Spring Boot, SQL, and messaging experience with Kafka or MQ.

The candidate will work in a large corporate environment, contribute across the SDLC, and ensure performance, security, and operational stability. Experience with AI-assisted development tools and cloud platforms like AWS or Azure is required.

Formación

• Formal training or certification in software engineering concepts.
• Hands-on experience with Java/J2EE and Spring Boot.
• Experience in large enterprise or corporate environments.
• Strong knowledge of SQL and database querying.
• Experience with messaging technologies such as Apache Kafka or MQ.
• Ability to evaluate and validate AI-generated code and outputs.

Responsabilidades

• Design and develop enterprise-grade applications using Java/J2EE and Spring Boot.
• Develop scalable, high-performance backend services and APIs.
• Write and optimize SQL queries for relational databases.
• Implement messaging solutions using Kafka, MQ, or similar.
• Contribute across the SDLC including analysis, design, testing, deployment, and maintenance.
• Verify security, performance, and operational stability of applications.

Conocimientos

Java/J2EE

Spring Boot

SQL

Messaging (Kafka/MQ)

Educación

Software engineering training/certification

Descripción del empleo

Required Skills: Java, J2EE, Spring Boot, SQL,

Job Description

We are seeking a skilled Java Developer to design, develop, test, and maintain scalable enterprise applications. The ideal candidate will have strong hands-on experience with Java/J2EE, Spring Boot, SQL, and messaging technologies such as Kafka or MQ.

The candidate should have experience working in a large corporate environment, contributing across the Software Development Life Cycle (SDLC), and maintaining application performance, security, and operational stability. Experience using enterprise-approved AI-assisted software development tools and cloud technologies such as AWS or Azure is also required.

Key Responsibilities

• Design, develop, test, debug, and maintain enterprise-grade applications using Java/J2EE and Spring Boot.
• Develop scalable, reliable, and high-performance backend services and APIs.
• Write and optimize SQL queries and work with relational databases.
• Implement messaging and event-driven solutions using Kafka, MQ, or similar technologies.
• Participate in all phases of the Software Development Life Cycle, including requirements analysis, design, development, testing, deployment, and maintenance.
• Troubleshoot application issues, identify root causes, and implement effective solutions.
• Ensure application resiliency, security, performance, and operational stability.
• Use enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating AI-generated outputs for accuracy, quality, and security.
• Follow responsible AI practices, including data sensitivity requirements and secure handling of inputs and outputs.
• Collaborate with cross-functional teams in an Agile development environment.
• Support CI/CD processes and contribute to continuous improvement in development and deployment workflows.
• Work with cloud technologies such as AWS or Microsoft Azure to support application development and deployment.

Required Skills and Qualifications

• Formal training or certification in software engineering concepts, with practical experience applying them in a professional environment.
• Strong hands-on experience with Java/J2EE and Spring Boot.
• Experience developing, debugging, and maintaining applications in a large enterprise or corporate environment.
• Strong knowledge of SQL and database querying.
• Experience with messaging technologies such as Apache Kafka or MQ.
• Hands-on experience with enterprise-approved AI-assisted software development tools.
• Ability to critically evaluate and validate AI-generated code, tests, troubleshooting recommendations, and documentation.
• Understanding of responsible AI usage, data security, confidentiality, and secure engineering practices.
• Experience across the complete Software Development Life Cycle (SDLC).
• Familiarity with Agile methodologies and development practices.
• Exposure to CI/CD, application resiliency, and application security.
• Practical knowledge of cloud platforms such as AWS or Microsoft Azure.
• Strong analytical, problem-solving, debugging, and communication skills.

Preferred Qualifications

• Experience developing and supporting large-scale enterprise applications.
• Familiarity with automated testing and continuous integration and deployment pipelines.
• Experience with cloud-native application development and deployment.
• Understanding of secure coding standards, application monitoring, and production support practices.