Responsibilities
- Design and implement high-performance recommendation engines and API services based on Java.
- Perform improvement tasks to optimize performance, stability, and cost for large-scale distributed systems.
- Optimize the performance of core systems such as recommendation ranking and queue management, and improve operational efficiency.
- Build web-based operations platforms that enable global teams to manage complex recommendation parameters and configure A/B tests efficiently.
- Improve web-based tools to accelerate experimentation speed and operational efficiency.
- Collaborate with global engineers, PMs, designers, and data scientists to develop user-centric products.
Qualifications
- 3+ years of software engineering experience with full-stack development, with a solid understanding of backend systems.
- Experience building web applications using React, TypeScript, JavaScript, etc.
- Experience with at least one backend language/framework such as Java, Kotlin, or Node.js.
- Experience in designing and implementing RESTful APIs.
- Solid understanding of computer science fundamentals, including data structures, algorithms, and operating systems.
- Constructive and respectful communication skills during code reviews and collaboration.
- Experience proactively defining and solving problems.
- Comfortable with English reading and writing, with a willingness to continuously improve English speaking skills for smooth global collaboration.
Preferred Qualifications
- Those who started their career as a backend engineer but also possess frontend development capabilities.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
- Experience in backend development requires large-scale traffic processing.
- Experience building admin tools or data visualization dashboards that handle complex data.
- Experience building internal tools, admin panels, or developer platforms.
- Understanding of infrastructure environments such as AWS, Docker, and Kubernetes.
- Experience developing experimentation platforms or A/B testing tools.
- Experience using Elasticsearch or other search/analytics engines.
- Interest in test automation and code quality improvement.
- Ability to explain technical designs or code logic in English and participate in real-time discussions.
Recruitment Process
- Employment Type: Full-time
- Recruitment Process: Document Screening > Coding Test > 1st Interview > 2nd Interview > Final Acceptance
- For document screening, only successful applicants will be notified individually.
- Application Documents: Detailed career-based resume (PDF) in free format
Top Skills
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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