Staff / Sr. Staff Engineer, AI & Security Analytics

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 automation building 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.

• 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



• Experience with cloud platforms

  (AWS, Azure, or GCP) and cloud-native architectures



• Solid understanding of software design patterns

  and system architecture principles

• 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 LangGraph


• 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, TigerGraph, 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 (ClickHouse, Snowflake, BigQuery)


• ETL/ELT pipeline design and implementation


• Working with both structured and unstructured data

• 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)

• 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

• 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

• 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

You will work hands-on with:

• Languages

  : Python (primary), Go, Java/Scala



• AI/ML Frameworks

  : TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph



• LLM APIs

  : OpenAI, Anthropic Claude, Azure OpenAI



• Graph Databases

  : Neo4j, TigerGraph, 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)

• 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

#LI-JB3