Job responsibilities
- Identifies problems, proposes and executes software solutions, design, development, operate and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure, high quality, full-stack production code; reviews and debugs code
- Support the products you have built through their entire life cycle, including production and incident management
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Collaborates with cross functional teams to understand their domain and data requirements, to help shape the development of products.
- 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 proficient applied experience.
- Good knowledge and hands-on practical experience in all aspects of the Software Development Lifecycle (SDLC) including system design, application development, testing, and operational stability
- Excellent knowledge with front-end languages and frameworks (e.g. typescript/react)
- Excellent knowledge with server-side languages and frameworks (e.g. Java/SpringBoot)
- Good knowledge of integration technologies (e.g. GraphQL, REST etc..)
- Experience in developing, debugging, and maintaining code with modern programming languages and database querying languages
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
- Practical experience of designing and deploying applications on AWS
- Practical cloud native experience
- Knowledge and experience with Data Lakehouse Platforms (e.g. Databricks)
- Knowledge and experience with Python