Backend Engineer Graduate (TikTok Recommendation Architecture) - 2026 Start (BS/MS)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading social media platform headquartered in Singapore is seeking a final year or recent graduate for a role in software development. You'll design and optimize recommendation systems, ensuring high performance and scalability. Strong programming skills in Go, Python, Java, or C++ are required. This position offers the chance to tackle complex challenges and grow within an innovative team in a dynamic tech environment.

Benefits

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flexible hours

Qualifications

• Final year or recent graduate.
• Strong software programming capabilities.
• Familiarity with programming languages: Go, Python, Java, C++.

Responsibilities

• Design recommendation systems to enhance development efficiency.
• Optimize backend systems for data security and modularity.
• Troubleshoot production system issues.

Skills

Software programming capabilities

Familiarity with Go, Python, Java or C++

Understanding of data structures

Algorithm design and analysis

Networking

Data security

Distributed systems

Highly scalable systems design

Education

Degree in Software Development, Computer Science, or related field

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

About the Team

Our Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for TikTok users. The team focuses on optimizing the recommendation system architecture, ensuring stability and high availability, and improving the performance of both online services and offline data flows. Collaborating with the algorithm team, we work to enhance recommendation effectiveness and user experience, boost system performance while reducing costs, build data and service mid-platforms, and realize flexible and scalable high-performance storage and computing systems.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Participate in the design of recommendation systems to enhance the development efficiency, performance scalability, and recommendation effectiveness of the system.
• Optimize backend systems and services for data security, modularity, computational efficiency and scalability.
• Trouble‑shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system.
• Build industry‑leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large‑scale business systems.
• Pursue extreme performance optimization in the storage layer, computing layer, or application layer.
• Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Collaborate with colleagues to serve global users and tackle the challenges brought by globalized architecture.

Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or other related technical discipline.
• Strong software programming capabilities, exhibits good code design and coding style.
• Familiarity with at least one of the programming languages: Go, Python, Java or C++.
• Pragmatic understanding of data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design.

Preferred Qualifications:

• Interested in recommendation systems, with an understanding of recommendation principles or execution processes.
• Have experience or internship in performance optimization and architecture optimization in high‑traffic scenarios.
• Agile, quick self learner, highly self‑motivated with strong sense of product ownership and creative problem solver.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [e-mail]