Job responsibilities
- Design, build, deploy and maintain software applications for Internal Audit functions in close collaboration with our business/customer stakeholders
- Create proof of concepts with new frameworks/Libraries, identify best practices, and adapt quickly.
- Perform design reviews, peer code-reviews, promote application packages and builds to all environment using Continuous Integration and Deployments
- Participate in SCRUM ceremonies, technical reviews, define/improve processes on configuration management, deployment for the application
- 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
- Demonstrated experience with Java 8+ distributed application development, REST, micro services, Spring Boot
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)
- Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
Preferred qualifications, capabilities, and skills
- Strong research, investigation, presentation and evaluation skills.
- Familiarity with modern front-end technologies (JavaScript, ReactJS, Angular) is a plus
- Exposure to cloud technologies
- Any experience in AI LLM implementations and/or ML solutions is a plus