Java Full Stack Developer

Job Requirements

• Extensive Experience: Minimum of 8 years of proven software development experience, specializing in Java, JavaScript framework like React, Spring Boot, and Oracle.

• Modern Application Development:

• In-depth knowledge of modern application architecture principles.

• Clear understanding of Data Structures and Object-Oriented Principles using Java

• Practical experience with Artificial Intelligence (AI) tools for enhancing development workflows.

• Proficiency in Microservices frameworks (e.g., Spring Boot), Event-Driven Services, and Cloud-Native Application Development.

• Multiple years of experience on Service Oriented and Microservices architectures, including REST and GraphQL implementations

• Full Stack Proficiency: Demonstrated ability to design, develop, and maintain both front-end and back-end components of robust web applications.

• Front-End Development: Strong expertise in developing intuitive user interfaces using contemporary JavaScript frameworks (e.g., React), HTML5, and CSS.

• Back-End Development: Solid experience in developing server-side logic and APIs using languages such as Java, Python, or similar.

• Database Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding of Relational Database Management Systems (RDBMS), particularly Oracle.

• API Development: Proven capability in designing, developing, and implementing high-performance RESTful APIs leveraging appropriate frameworks and technologies.

• CI/CD and DevOps:

• Proficiency with Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools for building (e.g., Maven, Gradle) and deploying code (e.g., Docker, Jenkins, OpenShift).

• Experience with AWS is considered a significant advantage.

• Agile Methodologies: Practical experience working within Agile development methodologies and utilizing project management tools such as JIRA.

• Testing Automation: Ability to develop and automate comprehensive unit, integration, and end-to-end tests to ensure code quality.

• Version Control: Solid understanding and practical experience with code versioning tools, including GitHub Enterprise.

Key Responsibilities

• Apply depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a regular basis

• Develop and engineer solutions within an Agile software delivery team, working to collaboratively deliver sprint goals, write code, and participate in the broader Client technical community and team-level Agile and Scrum processes.

• Contribute to the design, documentation, and development of world-class enterprise applications leveraging the latest technologies and software design patterns.

• Leverage technical knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues, as necessary.

• Follow and contribute to defining technical and team standards.

• Collaborate technical leadership to achieve established goals, in line with our broader technical strategy.

• AI-Driven Development: Leverage AI tools, such as GitHub Copilot, to enhance development efficiency, accelerate delivery timelines, and optimize software solutions.

• AI Landscape Awareness: Maintain awareness of the rapidly evolving AI landscape and proactively propose innovative approaches to implement product features.

• Problem Solving and Troubleshooting: Possess the expertise to analyze and effectively troubleshoot complex coding, application performance, and design challenges.

• Root Cause Analysis: Capable of conducting thorough research to identify the root causes of development and perfAormance issues, as well as devising and implementing effective defect resolutions.

• Technical Acumen: Demonstrate a profound understanding of the technical requirements pertinent to the solutions under development.

• Containerization and Orchestration: Utilize Docker for application containerization and Kubernetes for efficient service orchestration.

• Communication and Risk Management: Effectively communicate progress, proactively anticipate bottlenecks, provide skilled escalation management, and adeptly identify, assess, track, and mitigate issues and risks across various levels.

• Process Optimization: Streamline, automate, or eliminate redundant processes within architecture, build, delivery, production operations, or business areas where similar efforts or issues recur annually.