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.)
Bachelor's degree