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.