Netskope: Staff / Sr. Staff Engineer, AI Gateway — Taipei, Taiwan

About Netskope

Netskope develops security and networking technology for cloud, data and AI environments. Its employer introduction identifies the Netskope One platform, a zero-trust engine and the NewEdge network as parts of that offering. The business describes giving organisations visibility and control while maintaining the performance of access to applications and information. This connects cybersecurity with networking: the products address both how digital resources are reached and how their use is controlled and protected.

The position and its setting

Netskope lists Staff / Sr. Staff Engineer, AI Gateway in Taipei, Taiwan, under reference 8171690. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Cloud Data Path
• Employer listing date: 2 September 2026

Responsibilities and work described

• Netskope AI Gateway helps global enterprises securely adopt, scale, and govern Generative AI
• We are seeking a Staff / Sr
• Staff Software Engineer to architect, build, and scale the core systems powering our AI Gateway product and its supporting microservices across SaaS and on-prem/hybrid environments
• Based in Taiwan, you will be a technical anchor for our core development team
• This is a hands-on, high-impact individual contributor role focused on building highly scalable backend systems, with real ownership: the systems assigned to you are yours to design, build, and defend — depth matters more than volume
• Operate at the intersection of deep distributed systems engineering and cutting-edge AI technology
• An engineering leader who leverages AI to accelerate their workflows, but possesses the rigorous, production-grade coding skills required to architect complex systems, ensure enterprise-grade security, and validate AI-generated code
• Core Backend Development: Architect, build, and scale our core AI Gateway solutions, backend services, and high-throughput APIs
• Focus on writing highly concurrent, robust, and maintainable software, primarily in Golang
• Command AI-Driven Engineering: Integrate AI and agent-based tooling (e.g., Copilots, code generators) into your daily development workflow to accelerate scaffolding, boilerplate, and hypothesis generation
• Crucially, you will act as the gatekeeper: you must possess the deep software engineering expertise to audit AI-generated code, ensure architectural soundness, and reject code that introduces technical debt or security flaws
• Design: for Scale and Resilience: Build distributed systems capable of handling immense data payloads, streaming LLM responses (Server-Sent Events), and complex proxy routing without introducing unacceptable latency
• Cross-Functional Collaboration: Partner directly with global engineering, AI researchers, and product teams
• Translate ambitious AI features into scalable, maintainable software architectures
• Raise system design considerations before a single line of feature code is written
• Push Engineering Excellence: Drive the technical culture of the Taiwan team through architectural reviews, code reviews, and mentorship

Essential requirements and candidate background

• Engineering
• 8-10+ years in software engineering, with at least 5+ years deeply focused on backend development, cloud-native services, and distributed systems
• You build modular libraries, reliable microservices, and scalable frameworks from scratch
• You do not just prompt; you write software
• AI-Assisted Workflow Proficiency: Demonstrated experience using advanced LLM-based coding agents in real engineering work
• You understand where AI accelerates development and where it introduces technical debt or hallucinations, and you have a clear track record of catching what the AI misses
• System Architecture: Expertise in microservices architecture, RESTful/gRPC API design, and navigating complex distributed system trade-offs (consistency vs. availability, caching strategies, asynchronous processing)
• Networking & Gateway Fundamentals: Deep understanding of Layer 4-7 networking: proxy architectures, HTTP/S, TLS interception, DNS, TCP/IP, and load balancing
• Infrastructure & Kubernetes: Deep, hands-on experience developing for and debugging services on Docker/Kubernetes
• You understand K8s networking, service discovery, and deployment strategies in cloud or hybrid environments
• Autonomy & Communication: Track record of taking under-specified, ambiguous problems and driving them to working software solutions
• Verbal and written English for complex technical collaboration across global teams

Preferred experience and additional strengths

• Production-Grade Coding: software engineering skills in Golang (highly preferred) or Python
• GenAI Ecosystem: Familiarity with the request/response schemas of major LLM providers (OpenAI, Anthropic, Gemini), streaming formats, agentic protocols such as MCP and A2A, and orchestration frameworks like LangChain or LlamaIndex
• Cybersecurity Domain: Background in Secure Web Gateways (SWG), Zero Trust Network Access (ZTNA), or Data Loss Prevention (DLP)
• Cloud Platforms: Experience developing and operating scalable services in AWS, GCP, or Azure
• Event Streaming: Experience with message brokers and event-driven architectures (e.g., Apache Kafka)
• Observability: grasp of embedding observability (OpenTelemetry, Prometheus, Grafana) directly into application code

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Taipei, Taiwan

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff / Sr. Staff Engineer, AI Gateway vacancy is not an offer for reference 8171690; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netskope

Applications follow the official employer page linked below.

Open the official Netskope posting below and match the title and reference 8171690.

Compare your qualifications and experience with the essential conditions for the Taipei, Taiwan position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Kafka
• Kubernetes
• Docker
• AWS
• GCP
• Azure
• MCP
• APIs
• AI/ML
• LLMs
• Google Cloud
• AI
• cybersecurity