Hyper-Edge Technology Engineer in Sydney

Hyper-Edge Technology Engineer in Sydney

Sydney Full-Time 69750 - 85250 $ / year (est.) On-site
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At a Glance

  • Tasks: Implement Hyper-Edge technologies and optimise video streaming performance.
  • Company: Join TikTok's innovative Data Application Team in Video Cloud Infrastructure.
  • Benefits: Exciting career growth, work on cutting-edge tech, and make a global impact.
  • Other info: Apply early; applications reviewed on a rolling basis.
  • Why this job: Shape the future of video streaming for billions with your bold ideas.
  • Qualifications: Bachelor's/Master's in Software Development or related field; programming skills required.

The predicted salary is between 69750 - 85250 $ per year.

Be part of TikTok's groundbreaking Data Application Team within the Video Cloud Infrastructure division, where we empower our Live CDN and ultra-edge CDN service teams to revolutionize video on demand and video streaming through data-driven insights and cutting-edge algorithms. By harnessing the vast log data generated by our CDNs, we develop intelligent tools to optimize performance, minimize costs, and enhance user experiences.

As part of our lean and agile team, you'll have the opportunity to make a significant impact and shape the future of video streaming for billions of users worldwide.

Responsibilities:

  • Responsible for the implementation of Hyper-Edge technologies in scenarios such as multimedia and content crawling.
  • Guarantee the availability and stability of access systems, optimize performance and boost resource utilization efficiency.
  • Design and develop the next-generation large-scale global Hyper-Edge scheduling system and node network.

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 our Company. Successful candidates must be able to commit to an onboarding date by end of year 2027. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Qualifications:

  • Individuals who are completing or have recently completed a Bachelor's/Masters' degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Proficient in at least one programming language from C/C++/Go/Java/Python, equipped with system design capabilities and sound self-testing practices.
  • Solid understanding of CDN principles and practical experience in network quality optimization.
  • Expertise in designing high-performance, high-concurrency and high-availability distributed systems.
  • Capable of applying AI (Artificial Intelligence) technologies to enhance data analytics and data mining.
  • Open-minded with excellent communication skills, able to excel in cross-border collaborative environments and identify with the company’s corporate culture.

By submitting an application for this role, you accept and agree to our global applicant privacy policy. If you have any questions, please reach out to us.

Hyper-Edge Technology Engineer in Sydney employer: TikTok

At TikTok, we pride ourselves on being an exceptional employer, fostering a vibrant work culture that champions creativity and collaboration. Our global team thrives in an inclusive environment where diverse perspectives are celebrated, offering ample opportunities for professional growth and innovation. Located in dynamic hubs like Singapore, we empower our employees to tackle exciting challenges while making a meaningful impact in the tech industry.

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Contact Details:

TikTok Recruitment Team

We think you need these skills to ace Hyper-Edge Technology Engineer in Sydney

Hyper-Edge Technologies
Multimedia and Content Crawling
Performance Optimisation
Resource Utilisation Efficiency
Large-Scale System Design
Global Scheduling Systems
Node Network Development