2 months ago
Taipei, TaiwanStaff+
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.
Tech Stack
Categories
About Netskope
Netskope builds cloud security and networking software for enterprises, bundling CASB, SWG, ZTNA, DLP, and an enterprise browser in the Netskope One Security Service Edge/SASE platform. It sells subscriptions and services to security and networking teams to protect data and manage access across SaaS, web, private apps, and public cloud. Founded in 2012 and headquartered in Santa Clara, California, Netskope says it serves thousands of customers, including dozens of Fortune 100 companies.