Description

Key Skills: React, Angular, AWS ECS, System Design, Application Development, Testing, AI Coding Assistants, Software Development Life Cycle, Agile Methodologies, CI/CD

Good to Have Skills: Advanced knowledge of application, data, and infrastructure architecture disciplines. Strong written and oral communication and excellent presentation and influencing skills. Familiarity with Java microservices, MQ Kafka. Exposure to cloud technologies. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Roles & Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity across complex deliverables
• Apply knowledge of tools within the Software Development Life Cycle toolchain including AI-assisted development and automation capabilities
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement
• Proactively identify hidden problems and patterns in data and use insights to drive improvements to coding hygiene and system architecture

Experience Required: 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. Hands-on practical experience using AI coding assistants and enterprise-authorized AI-assisted software development tools

Key Skills

Education

Any Graduate