Java Fullstack Developer

Job Responsibilities

• Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams

• Executes software solutions, design, development, and technical troubleshooting.

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands-on practical experience in system design, application development, testing and operational stability

• Requires experience with the following: React, Java/J2EE, and AWS

• Proficient in coding in Java languages

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Hands On experience in Private and Public Cloud Platform like AWS, Azure, Google Cloud.

• Overall knowledge of the Software Development Life Cycle

• Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security

• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Knowledge of software applications and technical processes within a technical discipline (e.g. artificial intelligence, machine learning, mobile, etc.)