Software Engineer III - Java

uces architecture and design artifacts for complex applications while being accountable for 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.

• Works closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.

• Proactively 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

• 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

• Extensive design, coding, testing and debugging skills in Java and Spring Boot framework

• Proficient in coding in in Java 17, Spring Boot, and Databases

• Advanced in two or more technologies - Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL

• Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes

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

• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns

• Demonstrated 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

• Familiarity with modern front-end technologies
• Understanding or experience with Language Models (LLM).
• Experience with Machine Learning or AI technologies.
• Exposure to cloud technologies
• Exposure to Python programming language
• Independent and self-motivated
• Strong interpersonal and communication skills