Java Software Engineer

Job Overview

The role involves designing and maintaining robust Java-based applications within the Spring Boot framework and Microservices architecture. Candidates will utilize AI-powered development methodologies to enhance software design, development efficiency, and code quality. This position requires proactive responsibility for producing clean, scalable, and maintainable code along with collaborative interaction with cross-functional technical teams for continuous delivery improvements.

Key Responsibilities

• Develop and sustain high-caliber applications leveraging Java, Spring Boot, and Microservices architectures.
• Incorporate AI-driven development aids and methodologies to support software design and coding excellence.
• Ensure high standards of software quality through clean and scalable coding practices.
• Manage Functional Integration Deployment (FID) setup and configure development pipelines using the Jules tool.
• Set up, configure, and administer Google Kubernetes Platform (GKP) instances.
• Install, integrate, and maintain databases such as CockroachDB and MongoDB.
• Establish and oversee development pipelines and accompanying infrastructure components.
• Adhere to coding conventions, conduct testing, and participate in quality assurance procedures.
• Work alongside technical teams to ensure reliable software delivery and ongoing process enhancement.

Required Technical Skills

• Proficient experience developing with Java, Spring Boot, and Microservices technologies.
• Familiarity with AI tools employed for software design enhancement and code quality management.
• Solid understanding of fundamental software engineering concepts and adherence to code quality benchmarks.
• Knowledge of Functional Integration Deployment setup and pipeline configuration through Jules.
• Experience in configuring and managing GKP instances effectively.
• Hands-on experience handling NoSQL and distributed databases including CockroachDB and MongoDB.
• Strong analytical abilities with a capacity for problem-solving and debugging complex issues.