Java Full Stack Developer

Software Development EngineerExtensive 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 JavaPractical 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 implementationsFull 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 ResponsibilitiesApply depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a regular basisDevelop 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 performance 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. Apolis