Staff / Sr. Staff Engineer, Data Engineering at Netskope in Taipei

Job description

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. Netskope's Data Platform is the backbone behind every security insight our customers see, ingesting and processing security telemetry from a global edge network at massive scale. We own the full data path — from collection at the edge, through stream processing and enrichment, to the query, routing, and delivery systems that put that data in customers' hands. On top of that foundation we build the analytics, reporting, and export capabilities that our customers rely on to understand and act on their security posture. We are now investing in an AI-native future, building a semantic layer that makes our data machine-interpretable and agentic experiences that let customers ask questions of their data in natural language. What you’ll work on Partner with architects to design and evolve the systems that carry telemetry from global edge ingestion through processing, query, and customer delivery, with a focus on scale, durability & latency. Raise the bar on observability, SLOs, deployment safety, and production resilience of the platform that others build on top of - not just a single service. Build the AI-native semantic layer that’s the foundation to make our data machine-interpretable, and the agentic experiences on top of it that let customers ask questions in natural language. Lead cross-team initiatives, shaping architecture through design reviews, and mentoring engineers, with the freedom to adopt modern & open source technologies. Required skills and experience 10+ years building and operating large-scale distributed systems, with significant time operating at Staff-level (or equivalent) technical scope. Strong coding ability in one or more of Go, Java, Python, or C++, with a track record of shipping production systems, not just designing them. Experience designing for reliability at scale — observability, SLOs, incident response, and safe deployment on cloud infrastructure (AWS/GCP, Kubernetes). Demonstrated cross-team technical leadership: influencing architecture decisions, driving design decisions, and aligning teams around a direction. Experience building high-throughput ingestion and data services over modern RPC and wire protocols — HTTP/2, gRPC, and Protocol Buffers — including schema design and evolution. Experience with high-throughput data pipelines — data streaming & batch ingestion, processing, and storage using columnar data formats such as Parquet Excellent written and verbal communication, and the flexibility to collaborate across time zones with globally distributed teams. Ability to ramp up quickly into unfamiliar codebases and domains as priorities evolve, mentoring engineers and raising the engineering bar around y