3 hours ago
Base Salary
$134k - $272k/yr
Responsibilities
- Architect and develop scalable, high-performance cloud security systems for detecting and mitigating threats against LLM APIs and generative AI applications.
- Set the architectural strategy and technical direction for the Cloud API Gateway platform.
- Define best practices for microservices, distributed systems, APIs, and secure data flows across LLM providers.
- Lead and inspire engineering teams while mentoring junior engineers and fostering technical excellence.
- Build Go-based services for API routing, transformation, security, traffic inspection, load balancing, and failover.
- Design dynamic routing and orchestration algorithms for multi-provider LLM environments.
- Integrate DLP, threat protection, and UEBA capabilities for attack recognition, content inspection, and policy enforcement.
- Implement credential and token management algorithms for secure orchestration.
- Conduct technical research, architectural reviews, and code reviews, and collaborate with product and globally distributed engineering teams.
- Represent the company in external forums and industry events focused on technical thought leadership.
Requirements
- 10 to 12+ years of software engineering experience, including 5+ years in an architectural or technical leadership role.
- Deep backend engineering expertise with Go or similar languages, including the ability to review Go, C, and C++ code.
- Proven experience designing large-scale, secure, cloud-native systems and high-throughput, low-latency data systems.
- Expertise in networking from Layer 3 through Layer 7, web proxies, load balancing, request routing, API gateways, security, observability, distributed systems, or data processing.
- Strong understanding of computer architecture, multithreading, CPU scheduling, memory management, and Linux system or kernel-level operation.
- Hands-on experience debugging Docker and Kubernetes workloads, networking, and storage in on-premises or hybrid environments.
- Experience handling complex and ambiguous customer issues and working with globally distributed teams across time zones.
- Strong communication, negotiation, analytical, troubleshooting, and technical leadership skills.
- Experience with debuggers such as gdb and tools such as Valgrind, plus knowledge of unit testing frameworks.
- Experience with LLM APIs, generative AI platforms, multi-provider orchestration, deep packet inspection, real-time content analysis, threat detection, DLP, security policy enforcement, key management, and credential handling.
- Knowledge of prompt injection, jailbreak mitigation, LLM-specific threat patterns, and emerging generative AI and cloud security challenges.
- BSCS or equivalent required; MSCS or equivalent strongly preferred.
- Startup experience is a plus.
Benefits
- Competitive total rewards package with potential bonus eligibility for non-sales employees and stock award program participation.
- Comprehensive health plan and other benefits available through Netskope Benefits.
- The role works with a globally distributed team across the US, Taiwan, and India and may involve external industry events.
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.