Produces 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
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Build and maintain RESTful APIs and work on microservices architecture.
Write and maintain TDD/BDD test cases; ensure test coverage.
Required qualifications, capabilities, and skills
Bachelor’s Degree in Computer Science or equivalent
Formal Training and certification on software engineering and 3+ years of applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
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 using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Overall knowledge of the Software Development Life Cycle
Hands on Experience coding in Java, Spring/Spring Boot
Strong understanding of RESTful API design.
Proficiency in testing frameworks like JUnit, TestNG, and Cucumber
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Exposure to cloud technologies
Familiarity with full-stack application development.
Experience working with AWS cloud services (e.g., ECS, S3, Lambda) and proficiency in Infrastructure as Code (IaC) using Terraform
Experience with AI coding tools like GitHub Copilot, Cline, Claude Code.
Excellent communication and leadership skills, with the ability to work effectively in a team environment.