Full Stack Web Developer
Summary
The Full Stack Web Developer will build and maintain cloud-based infrastructure and APIs to support computer vision and machine learning algorithms. The role involves developing server-side solutions, managing databases, and optimizing algorithm performance using technologies like Node.js, Angular, PHP, and AWS.
Full Stack Web Developer
Qualifications
- 3+ years of applicable work experience
- Degree in Computer Science, Engineering or related field, or an equivalent combination of education and work-related experience
- Experience with back-end coding languages including node.js, Java
- Experience in designing and building frontend applications using Type‑Script, JavaScript, HTML, (S)CSS, Node.js, Express.js, React, MongoDB
- Knowledge in web components, RXJS, ES6, Angular (6)
- Understanding of CI/CD with Jasmine, Karma, Jenkins, Docker, Kubernetes
- Experience with Atlassian JIRA & Confluence
- Cloud services management especially AWS
- Comfortable reading legacy code
- Willing to learn new development and technical topics
- Analytical thinker, self-driven and self-motivated
- Detail-oriented
- Excellent time management skills
- Able to meet changing priority demands
What you will do
- Develop solutions using PHP, Angular and JavaScript
- Design and develop secure, and resilient server side technology to process complex client side requests for computer vision related API.
- Extend computer vision and machine learning algorithms written in C++ and python as server-based API which accepts calls from user applications. Which will increase the ease of developing, training, testing and deploying new algorithms.
- Optimize the algorithm running time and memory usage and develop scalable resilient infrastructure.
- Develop database management systems for user authentication, authorization and account management.
- Develop datastores for collecting, recording and storing unstructured data and provide webhooks and APIs for computer vision and machine learning algorithms to perform remote training, validation and testing.
- Architect a solution to deploy back end services in a cloud platform such as AWS and ensure the services are up and running at all times.
- Add newly released features, improvements and services to our cloud ecosystem.