Oxylabs - Solutions Engineer (Taiwan)
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Requirements
• Strong networking foundation: TCP/IP, DNS, HTTP/HTTPS, TLS/MTLS, proxies (HTTP/SOCKS), load balancing, NAT/VPN; • Strong data background: APIs, data pipelines, quality/validation, normalization, monitoring for data flows; • Familiar with digital-native architectures: APIs, microservices, event-driven patterns; hands-on debugging across layers; • Cloud basics: practical experience with at least one global cloud (AWS/Azure/GCP) and one China cloud (Alibaba/Tencent/Huawei/ Byteplus); • Discovery excellence: uncovering use cases, constraints, success criteria; mapping technical value to ROI; • PoC design and delivery: scoping, instrumentation, measurable outcomes, clear handover. • Web data and proxy domain: • Experience with web data acquisition at scale: session management, fingerprinting considerations, CAPTCHA strategies, rotation policies; • IP reputation management; understanding residential/mobile/datacenter IP sourcing in China and compliance constraints; • Target-site variability troubleshooting and success-rate optimization. • Observability and reliability: • Ability to isolate GFW vs target-site WAF vs ISP congestion; • Familiarity with monitoring/telemetry stacks (e.g., Prometheus/Grafana, ELK, OpenTelemetry). • Kubernetes/containers, Terraform, CI/CD basics for infra and app rollouts; • Scripting for integrations/tooling (Python/Go/JS); • Certifications: CCNP/CCIE, Alibaba/AWS/Azure Associate/Professional, CKA/CKAD, CISSP/CCSP; • Domain exposure: AI, e-commerce, fintech, adtech, travel, or marketplace data in China. • FOR YOU TO SUCCSEED IN THIS POSTION YOU HAVE TO HAVE: • Exceptional presentation, communication, and meeting facilitation skills in both English and Mandarin Chinese; • Eligible to travel to Europe, Mainland China and the APAC region; • Proven track record of collaborating with technical personas such as product owners, software engineers, and chief technology officers; • Strong focus to quality and details; • Proven track record of troubleshooting client's problems and solving them; • Strong communications skills with the ability to build meaningful relationships with customers. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Client Engagement and Solutions Design: • Understand Client Needs: Participate in prospective and existing client meetings to understand their data requirements and recommend solutions that fulfill their business use cases. • Technical Relationships: Own the technical relationship with our most strategic and largest prospective clients. • Design Workflows: Create and design the best workflows to integrate our solutions into clients' systems. • Solution Presentations: Lead requirements discovery, solution presentations, Proof of Concept builds, and various workshop formats with clients. • Engagement: Engage with technical and non-technical clients to demonstrate potential solutions effectively • Technical Expertise and Support: • Scraping Knowledge: Utilize in-depth knowledge of web scraping, data structures, and anti-bot bypass techniques to support and guide clients. • Technical Inquiries: Respond to advanced product and technical questions, RFPs, and security questionnaires promptly and accurately. • Customer Onboarding: Provide thoughtful technical guidance to ensure customers quickly and successfully onboard with Oxylabs. • Documentation: Document technical considerations and contribute to internal knowledge bases to support other teams, customers, and partners. • Collaboration and Feedback: • Sales Collaboration: Partner with the Sales and Account Management teams on engagements with prospective and existing customers to provide technical guidance and support. • Product Feedback: Curate structured product feedback to help Product and Engineering teams enhance and refine our offerings. • Sales Training: Educate the sales team on product details, upcoming releases, competitive analysis, and insights into typical customer environments and third-party applications.
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