Location: Taipei

Employment Type: Full time

Team: Engineering

AI is the new electricity. Millions of AI engineers will be required to transform industries with artificial intelligence and we’re building the education platform to train them. Deeplearning.ai wants to provide a world- class education to people around the globe so that we can all benefit from an AI-powered future.

Deeplearning.ai is looking for a Backend Data Engineer with strong computer science fundamentals with a passion for improving learners' experiences. The ideal candidate will thrive in an early development stage of a leading educational environment focusing on AI-related topics.

As a Backend Data Engineer, you will be responsible for building and delivering high-quality infrastructure and support to the technical content deeplearning.ai is providing. Our team is growing fast, and we are looking for a strong engineer to develop our educational products. In this role, you will work alongside a team of talented content creators as well as our outside partners, to build various layers of the infrastructure of world-renowned AI- driven education.

This is a full-time position based in Taipei.

Here’s what you’ll do:

• Develop a learner-centered platform to deliver the best learning experience for deeplearning.ai learners.
• Design a highly scalable, reliable, and robust data ETL pipeline for analytics.
• Design and develop internal tools to help our teams iterate quickly.
• Set up continuous integration and deployment pipeline.
• Maintain a high-quality code base and write clear documentation.
• Develop backend infrastructure for grading tools and network training.
• Build monitoring and alarming system.
• Responsible for developing payment processing systems like accepting data, securely storing that info, and making charges to that payment.

Here are the skills you should have:

• Broad and solid CS foundation knowledge, including data structures & algorithms, OS, computer networks, and databases.
• At least 7+ years of software development experience and experience in building end-to-end projects.
• 5+ years of experience with general backend (Linux, SQL, Java, Python), web frameworks (Spring, Django, Flask), or API (REST & GraphQL)
• Strong ability to convert ideas to running code.
• Proficient in general cloud service platforms such as Aliyun and AWS.
• Proficient in programming languages and libraries like Java and Python.
• Proficient in data warehousing technologies such as Redshift or ClickHouse.
• Proficient with Docker.
• Familiarity with Jupyter Notebook.
• Familiarity with microservice architecture design.
• Familiarity with HTML, CSS, JavaScript.
• Knowledge of security concerns and best practices.
• Bachelor's degree in CS or a related technical field is required.
• Excellent verbal and oral communication skills in both Mandarin and English.

The following would also be helpful, but isn't required:​

• Machine Learning knowledge.
• Familiarity with Product Metrics Instrumentation for user behavior analysis.
• Prior experiences working at an online video streaming company are a plus.
• HTML, CSS, and JavaScript knowledge is a plus.

By working with us you will:

• Be a part of a world-class technical team working alongside offices in different parts of the world.
• Have the opportunity to consolidate a quickly growing startup.
• Have access to state of the art infrastructure and technology.

We hope you will fit well with our team’s culture

Strong work ethic: All of us believe in our work’s ability to change human lives. Consequently, we work not just smart, but also hard.

Growth mindset : We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.

Good team members: We care and watch out for each other. We’re humble individually and go after big goals together.

Flexibility: You should be flexible in your tasks and do whatever is needed, ranging from lower-level tasks such as coordinating complicated schedules, to high-level work such as thinking through corporate strategy.