About Netskope
Today theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Network and Data Security.
Since 2012 we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara St. Louis Bangalore London Paris Melbourne Taipei and Tokyo. Our core values are openness honesty and transparency and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships collaboration and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter @Netskope.
About the Role
We are seeking an exceptional Senior Staff Software Engineer to build next-generation security analytics and AI-powered capabilities within Netskopes platform. This is a high-impact individual contributor role for an engineer who excels at solving complex technical problems at the intersection of artificial intelligence large-scale data systems and cybersecurity.
As a Senior Staff Engineer you will design and implement sophisticated systems that leverage cutting-edge AI / ML techniques graph-based analytics and real-time data processing to solve critical security challenges. You will work on problems spanning threat detection risk assessment behavioral analytics and intelligent automationbuilding the systems that help security teams at the worlds largest enterprises detect and respond to threats.
This role requires deep technical expertise with strong hands-on implementation skills. You will collaborate closely with Distinguished Engineers senior engineers product managers and security researchers to deliver production-quality solutions that operate at massive scale. Your code and architectural decisions will directly impact how thousands of organizations protect their critical assets.
Required Skills and Experience
Strong Technical Foundation
- 10-15 years of software engineering experience with progression to senior roles
- Expert-level proficiency in Python with modern frameworks and libraries
- Production experience with at least one other language (Go Java Scala or C)
- Deep understanding of distributed systems including consistency scalability and fault tolerance
- Strong computer science fundamentals : algorithms data structures complexity analysis
- Expert-level proficiency in Python with modern frameworks and libraries
- Experience with cloud platforms (AWS Azure or GCP) and cloud-native architectures
- Solid understanding of software design patterns and system architecture principles
AI / ML & Advanced Analytics Expertise
3 years hands-on experience building AI / ML systems in production including :Working with Large Language Models (OpenAI API Anthropic Claude or similar)Building RAG systems using frameworks like LangChain or LangGraphImplementing vector search with vector databases (Pinecone Weaviate Chroma pgvector)ML model training evaluation and deploymentMLOps practices including model monitoring and versioningExperience with graph databases (Neo4j TigerGraph or similar) including :Graph data modeling and schema designWriting complex graph queries (Cypher Gremlin or similar)Graph algorithms and traversalsStrong data engineering skills :Streaming data processing (Kafka Flink or similar)Large-scale data storage systems (ClickHouse Snowflake BigQuery)ETL / ELT pipeline design and implementationWorking with both structured and unstructured dataCybersecurity Domain Knowledge
5 years of experience in cybersecurity with practical understanding of :Security operations workflowsThreat detection and incident responseSecurity data sources (logs network traffic endpoint telemetry)Common attack patterns and TTPsSecurity frameworks (MITRE ATT&CK)Experience with security analytics systems such as :Behavioral analytics and anomaly detectionThreat intelligence platformsSecurity automation and orchestrationFamiliarity with security compliance requirements (SOC 2 GDPR HIPAA)Technical Execution Skills
Proven track record delivering complex projects from design through production deploymentStrong debugging and troubleshooting skills for distributed systemsExperience with testing including unit testing integration testing and test automationProficiency with version control (Git) and CI / CD pipelinesUnderstanding of monitoring and observability (Prometheus Grafana distributed tracing)Experience with containerization (Docker Kubernetes)Ability to work with ambiguity and drive technical decisions with incomplete informationStrong problem-solving skills breaking down complex problems into manageable componentsCommunication & Collaboration
Excellent written communication for technical documentation and design specsClear verbal communication for explaining complex technical conceptsCollaborative mindset working effectively with cross-functional teamsAbility to give and receive constructive feedback in code reviews and design discussionsExperience mentoring junior and mid-level engineersCustomer empathy understanding security practitioner needs and workflowsPreferred Qualifications
Experience in cybersecurity product companies or security-focused rolesBackground in security research or threat huntingContributions to open-source projects in AI / ML security or data engineeringExperience with advanced graph algorithms : community detection centrality measures path findingFamiliarity with behavioral analytics and UEBA systemsKnowledge of prompt engineering and LLM optimization techniquesExperience with real-time systems requiring low-latency processingUnderstanding of data privacy and secure system designExperience with streaming ML and online learning systemsConference presentations or blog posts on technical topicsTechnical Environment
You will work hands-on with :
Languages : Python (primary) Go Java / ScalaAI / ML Frameworks : TensorFlow PyTorch scikit-learn LangChain LangGraphLLM APIs : OpenAI Anthropic Claude Azure OpenAIGraph Databases : Neo4j TigerGraph or Apache AGEVector Databases : Pinecone Weaviate Chroma pgvectorStreaming : Apache Kafka Apache FlinkData Storage : ClickHouse PostgreSQL data lakes (S3 / Delta / Iceberg)Cloud : AWS Azure or GCPOrchestration : Kubernetes Docker AirflowMonitoring : Prometheus Grafana ELK stackDevelopment : Git CI / CD (Jenkins GitLab GitHub Actions)What We Offer
Cutting-edge technical challenges at the intersection of AI and cybersecurityHands-on work with latest technologies (LLMs graph databases vector search streaming)Collaborate with world-class engineers and security expertsCompetitive compensation including base salary equity and comprehensive benefitsFlexible work arrangements (remote or hybrid options)Professional development budget for conferences courses and certificationsLearning opportunities staying current with rapidly evolving AI / ML landscapeWork-life balance with flexible schedules and unlimited PTOImpact at scale solving real security problems for global enterprisesModern tech stack and freedom to influence tooling decisions#LI-JB3
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.
Netskope respects your privacy and is committed to protecting the personal information you share with us please refer to Netskopes Privacy Policyfor more details.
Required Experience :
Staff IC
Key Skills
Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems
Employment Type : Full-Time
Experience : years
Vacancy : 1