3 hours ago
Responsibilities
- Architect, build, and scale the AI Gateway’s backend services, microservices, and high-throughput APIs primarily in Golang.
- Design distributed systems that handle large data payloads, streaming LLM responses, proxy routing, and low-latency workloads.
- Integrate AI coding agents and tools into development while auditing generated code for architectural, technical-debt, and security issues.
- Collaborate with global engineering, AI research, and product teams to translate ambiguous AI requirements into scalable architectures.
- Lead architectural reviews, code reviews, mentorship, and technical-excellence initiatives for the Taiwan engineering team.
- Debug complex issues across asynchronous microservices, Kubernetes networking, TLS, and proxy protocols.
- Own production services through monitoring, shared on-call participation, and permanent structural fixes for recurring incidents.
Requirements
- 8–10+ years of software engineering experience, including at least 5+ years focused on backend development, cloud-native services, and distributed systems.
- Exceptional production-grade programming ability in Golang or Python, including building modular libraries, reliable microservices, and scalable frameworks.
- Demonstrated experience using LLM-based coding agents in real engineering work and validating AI-generated code.
- Expertise in microservices architecture, RESTful/gRPC API design, distributed-systems trade-offs, caching, consistency, availability, and asynchronous processing.
- Deep understanding of Layer 4–7 networking, proxy architectures, HTTP/S, TLS interception, DNS, TCP/IP, and load balancing.
- Hands-on experience developing and debugging services with Docker and Kubernetes, including Kubernetes networking, service discovery, and deployment strategies.
- Track record of independently driving ambiguous technical problems to working software solutions and communicating complex technical topics in English.
- BS in Computer Science, Software Engineering, or equivalent practical experience; an MS is strongly preferred.
- Familiarity with OpenAI, Anthropic, Gemini, MCP, A2A, LangChain, LlamaIndex, Secure Web Gateways, ZTNA, DLP, AWS, GCP, Azure, Apache Kafka, OpenTelemetry, Prometheus, or Grafana is preferred.
Benefits
- The position is based in Taiwan and supports collaboration with global engineering, AI research, and product teams.
- The role includes mentorship, continuous education, and career development opportunities.
- Employees participate in a shared on-call rotation and own production service health.
- Netskope describes an inclusive workplace focused on belonging, transparency, curiosity, and equal employment opportunity.
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About Netskope
Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, addresses the needs of both security and networking teams by providing optimized access and real-time, context-based security for the AI ecosystem inclusive of agents, applications, tools, LLMs, people, devices, and data. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications – providing security and accelerating performance without trade-offs.