Backend Engineer
What You'll Do Develop and optimize foundational infrastructure for recommendation systems, such as databases, APIs, streaming services, and CDC-related services. Establish system monitoring mechanisms to improve service stability. Advance MLOps practices to enhance the development experience of machine learning algorithms. Collaborate with Data Engineers to develop and optimize Data Infrastructure. What We're Looking For Proficient in Python or Golang, and open to learning new languages. Capable of writing highly readable, maintainable, and scalable code, as well as conducting high-quality code reviews. Familiar with software project development processes. Have at least one year of experience in Backend API development. Familiar with Kubernetes practices and principles. Knowledgeable in system monitoring design. Familiar with one or more of the following database systems: MongoDB, Elasticsearch, Redis, ClickHouse, BigQuery. Possess excellent communication and collaboration skills, able to articulate ideas clearly and work smoothly with team members. Join Our Team at Dcard! We are on a mission to spark connections and bring people together. About Us Dcard is a leading social media platform dedicated to creating a safe and open space for sharing ideas and stories. With a thriving community of up to 22 million unique visitors per month, particularly popular among the youth in Taiwan, our mission is to unite people and make a significant impact in social media, advertising, and IP business. We are now expanding into Hong Kong, Japan, and the broader APAC market. Your Role as Backend Engineer As a Backend Engineer at Dcard, you will collaborate closely with product managers and developers to build products that matter and create tools that accelerate growth. Join our team of developers to build the social network of the next generation. We code in a fresh monolithic repository and ship code every few hours, and most importantly, we're never afraid of using new and bold approaches to conquer challenges. If you are ready to take the leap, join us in creating an experience that connects people all around the world! About the Dcard Engineering Team As a member of the Dcard Engineering Team, you'll develop features, optimize the developer experience and architecture, and evaluate new technologies. You'll tackle challenges on high-traffic products, continuously improving architecture to serve millions. We are: Data Driven: Our decisions and analyses are based on key metrics and OKRs, ensuring everyone works towards the same goals. We prioritize data-driven thinking over intuition. Fast-Paced: You'll grow technically and collaboratively in our fast-moving team. We tackle daily challenges like managing high-traffic ad systems and ensuring real-time data updates. Process Optimization: We focus on improving processes for smoother collaboration. We actively address and fix any issues that hinder our efficiency. Continuous Growth: We hold regular study sessions and Developer Sessions to share knowledge across domains. We also invite external experts to share successful case studies and development processes.公司地址:
臺北市大安區光復南路102號11樓其他:
Bonus Points If You Have Experience in developing systems capable of handling high traffic loads. Familiar with knowledge in one or more of the following domains: recommendation systems, advertising systems. Proficient in machine learning project development processes, including data processing, model deployment workflows, and CI-related designs. Knowledgeable in one of the following distributed computing systems: Spark, Flink. Things to Consider Only shortlisted candidates will be notified. The job opening may close ahead of schedule if positions are filled. Dcard reserves the right to withdraw a job offer if any false information is discovered during the application process. At Dcard, we celebrate diversity and strive to provide an inclusive environment where everyone is respected. We believe that equality and diversity drive innovation and creativity. Dcard is committed to maintaining a non-discriminatory employment environment and providing equal opportunities to all candidates. -2024-11-19