About Netskope

Today, there's 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 Netskope's 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 automation—building the systems that help security teams at the world's 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 Lang Chain or Lang Graph

• Implementing vector search with vector databases (Pinecone, Weaviate, Chroma, pgvector)

• ML model training, evaluation, and deployment

• MLOps practices including model monitoring and versioning

• Experience with graph databases (Neo4j, Tiger Graph, or similar) including:

• Graph data modeling and schema design

• Writing complex graph queries (Cypher, Gremlin, or similar)

• Graph algorithms and traversals

• Strong data engineering skills:

• Streaming data processing (Kafka, Flink, or similar)

• Large-scale data storage systems (Click House, Snowflake, Big Query)

• ETL/ELT pipeline design and implementation

• Working with both structured and unstructured data

Cybersecurity Domain Knowledge

• 5+ years of experience in cybersecurity with practical understanding of:

• Security operations workflows

• Threat detection and incident response

• Security data sources (logs, network traffic, endpoint telemetry)

• Common attack patterns and TTPs

• Security frameworks (MITRE ATT&CK)

• Experience with security analytics systems such as:

• Behavioral analytics and anomaly detection

• Threat intelligence platforms

• Security automation and orchestration

• Familiarity with security compliance requirements (SOC 2, GDPR, HIPAA)

Technical Execution Skills

• Proven track record delivering complex projects from design through production deployment

• Strong debugging and troubleshooting skills for distributed systems

• Experience with testing including unit testing, integration testing, and test automation

• Proficiency with version control (Git) and CI/CD pipelines

• Understanding of monitoring and observability (Prometheus, Grafana, distributed tracing)

• Experience with containerization (Docker, Kubernetes)

• Ability to work with ambiguity and drive technical decisions with incomplete information

• Strong problem-solving skills breaking down complex problems into manageable components

Communication & Collaboration

• Excellent written communication for technical documentation and design specs

• Clear verbal communication for explaining complex technical concepts

• Collaborative mindset working effectively with cross-functional teams

• Ability to give and receive constructive feedback in code reviews and design discussions

• Experience mentoring junior and mid-level engineers

• Customer empathy understanding security practitioner needs and workflows

Preferred Qualifications

• Experience in cybersecurity product companies or security-focused roles

• Background in security research or threat hunting

• Contributions to open-source projects in AI/ML, security, or data engineering

• Experience with advanced graph algorithms: community detection, centrality measures, path finding

• Familiarity with behavioral analytics and UEBA systems

• Knowledge of prompt engineering and LLM optimization techniques

• Experience with real-time systems requiring low-latency processing

• Understanding of data privacy and secure system design

• Experience with streaming ML and online learning systems

• Conference presentations or blog posts on technical topics

Technical Environment

You will work hands-on with:

• Languages: Python (primary), Go, Java/Scala

• AI/ML Frameworks: Tensor Flow, Py Torch, scikit-learn, Lang Chain, Lang Graph

• LLM APIs: OpenAI, Anthropic Claude, Azure OpenAI

• Graph Databases: Neo4j, Tiger Graph, or Apache AGE

• Vector Databases: Pinecone, Weaviate, Chroma, pgvector

• Streaming: Apache Kafka, Apache Flink

• Data Storage: ClickHouse, PostgreSQL, data lakes (S3/Delta/Iceberg)

• Cloud: AWS, Azure, or GCP

• Orchestration: Kubernetes, Docker, Airflow

• Monitoring: Prometheus, Grafana, ELK stack

• Development: Git, CI/CD (Jenkins, GitLab, GitHub Actions)

What We Offer

• Cutting-edge technical challenges at the intersection of AI and cybersecurity

• Hands-on work with latest technologies (LLMs, graph databases, vector search, streaming)

• Collaborate with world-class engineers and security experts

• Competitive compensation including base salary, equity, and comprehensive benefits

• Flexible work arrangements (remote or hybrid options)

• Professional development budget for conferences, courses, and certifications

• Learning opportunities staying current with rapidly evolving AI/ML landscape

• Work-life balance with flexible schedules and unlimited PTO

• Impact at scale solving real security problems for global enterprises

• Modern tech stack and freedom to influence tooling decisions

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 Netskope's Privacy Policy for more details.

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.