Job responsibilities
- Engage with stakeholders to break down complex and ambiguous problems into technical specifications that an engineering team can implement under your management
- Lead and participate in regular technical meetings, ensuring that architectural decisions align with the broader organizational goals and strategy
- Own and deliver end-to-end cutting-edge solutions leveraging the latest technologies and the best industry practices
- Develops secure, high quality, full-stack production code; reviews and debugs code
- Support the products you've built through their entire life cycle, including production and incident management
- 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
- Expert knowledge with server-side languages and frameworks on Java/SpringBoot, Python
- Experience building solutions on at least one Cloud platform preferrably AWS
- Expert knowledge of the full Software Development Lifecycle (SDLC) including system design, application development, testing, and operational stability
- Expert knowledge in developing, debugging, and maintaining code with modern programming languages and database querying languages
- Experience of integration technologies (e.g. GraphQL, REST, SNS, MQ etc..)
- Experience of NoSQL/SQL database technologies (e.g. MongoDB Atlas, DynamoDB, Postgres etc..)
- 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
- Knowledge with front-end languages and frameworks (e.g. typescript/react)
- Knowledge and experience with Data Lakehouse Platforms (e.g. Databricks)