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T
TikTok
[General Hire] Tech Lead / Senior Software Engineer, Monetization Technology
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Based on California data
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What they do
A Software Developer or Engineer designs or improves computer software. Oversees the entire software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance. May specialize in the design of computer applications or computer systems.
$162,138 / year median in California
-13% projected decline
Job Description
Responsibilities TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.
Responsibilities:
- Create innovative monetization products that drive engagement and business outcomes.
- Develop highly scalable services that powers new ad products for billions of requests. Design systems that will optimize monetization efficiency with product engineering and state-of-the-art machine learning technologies.
- Implement new ad solutions that will continuously protect the user experiences on TikTok.
- Collaborate with strategy team, product managers, and other key stakeholders to define products and drive initiatives from engineering perspective.
- Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
Qualifications Minimum Qualifications:
- BS degree in Computer Science, Computer Engineering or other relevant majors with 7+ years of work experience.
- Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
- Ability to think critically and to formulate solutions to problems in a clear and concise way.
- Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data pipeline.
- Good product sense and experience designing and implementing product features.