Netskope: Staff Engineer, AI Gateway — Taipei, Taiwan

Netskope lists a Staff Engineer, AI Gateway opening in Taipei, Taiwan. The job description covers SQL, AWS, Azure, Google Cloud, Kubernetes, AI, Lean.

Recruitment overview

OrganisationNetskope
Post / roleStaff Engineer, AI Gateway
DepartmentCloud Data Path
Employment typeNot specified
Notification / job ID8211204
Job locationTaipei, Taiwan
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience requiredBackground. 8+ years in software engineering, with 5+ years on backend services and distributed systems
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 Engineer, AI Gateway in Taipei, Taiwan, under reference 8211204. 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: 22 September 2026

Responsibilities and work described

  • Netskope Secure Web Gateway (SWG) governs how global enterprises reach the web and cloud, and Real-time Protection (RTP) policy is how customers define what is allowed, blocked, or inspected
  • The RTP team builds the backend services and APIs that manage that policy and deliver it to the Netskope platform worldwide
  • We are seeking a Staff Software Engineer to architect, build, and scale these services
  • This is a hands-on IC role with genuine ownership: you take services from design through production and are accountable for how they behave
  • We work in an AI-augmented engineering culture
  • AI tools accelerate us, but the engineer is always the author
  • Service Architecture and Implementation
  • Design, build, and scale concurrent, robust microservices and APIs in Golang
  • AI as a Force Multiplier, You as the Reviewer
  • Use AI coding agents daily; specify problems precisely, push for generic reusable solutions, and reject output that adds technical debt or security flaws
  • Codebase Stewardship
  • Keep code lean and purposeful, consolidate common patterns so duplication goes down, and judge PRs on correctness, edge cases, tests, and abstraction level
  • Distributed Systems Correctness
  • Propagate policy configuration reliably to a global dataplane, reasoning about consistency, idempotency, caching, and failure modes
  • Customer Issue Resolution
  • Troubleshoot bugs and issues raised by customers in a timely manner, and turn recurring ones into structural fixes

Essential requirements and candidate background

  • Background. 8+ years in software engineering, with 5+ years on backend services and distributed systems
  • Golang Depth
  • Golang skills across interface and package design, error handling, concurrency, performance profiling, and table-driven unit testing; hands-on with Gin and gRPC
  • Clean Code Mindset
  • Lean, readable, purposeful code; you know when an abstraction is earned and when it is premature
  • Practical AI Tooling Experience
  • Real-world use of LLM-based coding agents, with examples of steering them toward correct solutions and catching what they missed
  • Review Insight
  • Evaluate PR quality and give specific, well-reasoned feedback that improves both the code and the engineer
  • Distributed Architecture
  • Microservice patterns, REST/gRPC API design, event-driven systems (e.g., Kafka ), and caching (e.g., Redis )
  • Databases
  • NoSQL and SQL databases such as MongoDB and MySQL, including schema, sharding, and index design
  • Cloud-Native Delivery
  • Develop, deploy, and debug services on Kubernetes (e.g., Helm ), and write application-level metrics (e.g., Prometheus )
  • Ownership and Communication
  • Drive under-specified problems to shipped software
  • Verbal and written English
  • Proactive, timely communication; track cross-team dependencies and timelines and escalate risks early
  • What Makes You Stand Out

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

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Engineer, AI Gateway vacancy is not an offer for reference 8211204; 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 8211204.

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: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

  • SQL
  • NoSQL
  • Kafka
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • REST APIs
  • APIs
  • AI/ML
  • LLMs
  • Google Cloud
  • AI
  • Lean
  • communication

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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