Backend Software Engineer
職缺描述
Responsibilities
- Understand business requirements and translate them into code following the principles of Domain Driven Design (DDD)
- Maintain existing backend system and deciding on if and when refactoring would make sense (possibly due to a better understanding of the domain)
- Continuously explore, learn and apply the latest industry best practices, design patterns, tools, and technologies
Requirements
- Typescript
- Solid foundation in MongoDB and Node.js with experience in a web framework (Express.js, Koa.js, etc)
- Experience working with a codebase following the principles of Domain Driven Design
- Unit testing frameworks such as Jest, Mocha
- Good cross-team communication skills
- Self-managed, proactive work style
Good to haves
- Any infrastructure as code framework (AWS CDK, Terraform, Pulumi, etc.)
- Basic understanding of AWS, in particular S3, SNS, SQS, AWS Batch, and Lambda
- Any CI/CD pipeline (Github Actions, CircleCI, Bitbucket Pipelines, etc.)
- Docker
- Serverless framework
- GraphQL with Prisma
- Event-driven programming & distributed systems design
As part of your application, please attach the following items to your resume:
- Your Cover Letter with answers to the following two questions (1) Why do you want to work at Skand and (2) What is the most difficult engineering problem that you’ve worked on (as much detail as possible)
- Your CV
- A link to the project that you are proud of. If you don’t have one, please let us know and we will send you a task for us to evaluate your fit.
關於我們
The last 150 years have seen engineering and architecture projects grow increasingly sophisticated. Many people are involved in different stages of the project lifecycle, from the initial planning to construction and maintenance. However, one thing is common across them all: data.
Skand’s vision is to bring spatial data to everyone. We achieve this by creating a platform that allows users to manage, visualize, and share their data. It is becoming adopted by more and more industries, with clients such as Crown Casino, Melbourne Metro, and Veris, to name a few.
We deal with incredibly diverse datasets, from PDFs and images to CADs, photogrammetry meshes, and point clouds that can be hundreds of gigabytes large. It raises interesting engineering problems, from designing scalable data pipelines in the cloud to building the 3D Web Viewer with which users can manipulate their data (have a sneak peek at https://skand.io/webapp-embed/).