Senior Backend Engineer (Anti-Scam 2B Team)

**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, 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: （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." **Why you should join Gogolook** 1. Influential products: What we make are meaningful products that create values for society and defend against frauds. 2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company. 3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together. 4. 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. **About Gogolook:** 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. **Role Overview:** 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. **What you'll work on:** 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. ### Responsibilities - Own the backend design, development, and maintenance of enterprise solution products, ensuring system reliability and an outstanding client experience. - Design, build, and maintain production-grade web crawling and scraping systems, including anti-detection mechanisms, scheduling, rate limiting, and data normalization pipelines to support brand protection intelligence and fraud ad detection pipelines. - Integrate backend services, APIs, and data ETL pipelines to power real-time fraud detection, alerting, and threat analysis. - Collaborate directly with PM and design to define and build enterprise console: including workflows, dashboards, and reporting surfaces. - Drive performance optimization across services: latency, throughput, and resource efficiency. - Leverage AI coding agents: including Claude Code and OpenAI Codex, as core development tools to accelerate engineering velocity and build intelligent, AI-augmented product features. - Proactively drive technical debt reduction, architecture improvements, and cross-team knowledge sharing as a natural part of how you work. ### Minimum Qualifications - 4-8 years of backend development experience, with deep proficiency in Golang. - Strong system design and architecture skills, with demonstrated ability to build scalable, production-grade services. - Proven experience building and maintaining production web crawlers or scraping systems, including handling anti-bot countermeasures, dynamic page rendering (e.g., headless browsers), and large-scale URL processing pipelines. - Solid understanding of SQL and NoSQL databases; ability to design and optimize schemas for performance. - Hands-on experience with AWS cloud services. - Hands-on experience using AI coding agents (e.g., Claude Code, Codex) as part of daily development workflow - Practical experience integrating or building features with LLMs. - Strong ownership mindset — you raise issues proactively, drive solutions to completion, and communicate blockers clearly. - Effective collaborator in cross-functional, hybrid environments. - Proficient with Git and modern code review workflows. ### Preferred qualifications - Frontend experience (HTML, CSS, JavaScript, React) — particularly for enterprise console surfaces. - Demonstrated expertise in AWS architecture, including serverless, container-based, or event-driven patterns. - Prior tech lead or mentorship experience.