Senior Backend Engineer (Anti-Scam 2B Team)
Quick Summary
About us Gogolook is a leading TrustTech company founded in 2012 and listed on the Taiwan Stock Exchange in 2025 under the stock code 6902. With "Build for Trust" as its core value,
Gogolook is a leading TrustTech company founded in 2012 and listed on the Taiwan Stock Exchange in 2025 under the stock code 6902. With "Build for Trust" as its core value, the company has expanded its business from Asia to Europe and America. Gogolook’s AI technology is built on the world's largest database of digital scam data, encompassing phone numbers, websites, virtual currency wallet addresses, and other factors.
The company provides diverse anti-scam and fintech services for both consumers and businesses. Its anti-scam offerings include the digital anti-scam app "Whoscall" and a range of enterprise scam prevention solutions in combination with "ScamAdviser."
The Fintech BU empowers consumers through data-driven financial services and inclusive lending: Roo.Cash(袋鼠金融)offers transparent matchmaking for financial products like credit cards, while JUJI(招財麻吉)provides an innovative microloan service for rapid, convenient funding during urgent financial needs.
A foundation member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Royal Police, the Fukuoka city and Shibuya City government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight scam, dedicated to creating a "scam-free environment."
- Influential products: What we make are meaningful products that create values for society and defend against frauds.
- Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
- Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
- Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal.
Gogolook is a TrustTech company with the mission of "Build for Trust." We build AI-powered products — including Whoscall and Watchmen — that protect hundreds of millions of people and businesses from fraud across Asia-Pacific. Our work sits at the intersection of real-time threat intelligence, cloud infrastructure, and enterprise-grade SaaS, and it has real-world stakes: the systems you build will directly help companies and governments detect and neutralize scam threats.
We're looking for engineers who take ownership, think beyond tickets, and want to see their work matter at scale.
As a Senior Backend Engineer in the Anti-scam 2B team, you will be the primary technical driver across two product lines:
- Brand Protection & Threat Detection Platform: Delivering real-time scam monitoring, alerting, and risk intelligence capabilities to enterprise clients
- Scam Intelligence API Platform: Enabling enterprise partners and OEM clients to embed Gogolook's detection capabilities into their own products at scale
This is not a maintenance role. You'll co-own architecture decisions, lead feature delivery end-to-end, and work directly with Product and cross-functional partners to shape how enterprise clients interact with Gogolook's fraud prevention ecosystem.
In the next 6 months, you'll be tackling: scaling crawling and data extraction pipelines to support new detection scenarios, redesigning high-throughput API services for greater scalability, and exploring innovative applications of AI/LLM technologies — including agent-based architectures — within our risk detection workflows to improve overall detection effectiveness.
Location & Eligibility
Listing Details
- Posted
- July 9, 2026
- First seen
- July 9, 2026
- Last seen
- July 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- July 9, 2026
Signal breakdown
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