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 you.
Familiarity with, or strong interest in, LLM-based systems, semantic layers, or data modeling for AI applications.
Education
BSCS or equivalent required, MSCS or equivalent strongly preferred
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
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The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
