Netskope is seeking a Principal Engineer to architect and lead the development of an advanced AI-powered analytics platform that combines machine learning, natural language interfaces, and large-scale data systems. The role requires broad systems expertise, product thinking, and a strong ability to collaborate across engineering, product, security, and AI teams.
Requirements
- 15+ years of experience building scalable, distributed systems for data analytics, ML, or search-based platforms
- Proven track record of architecting and delivering end-to-end AI or analytics platforms (BI tools, data apps, or ML-driven insights platforms)
- Deep expertise in backend engineering using Python, Java, or Scala; advanced proficiency in SQL and performance optimization
- Experience designing streaming and batch data pipelines using tools like Spark, Kafka, Flink, or equivalent
- Hands-on experience with MLOps platforms and modern ML deployment workflows (e.g., MLflow, Kubeflow, Airflow)
- Strong understanding of LLMs and vector databases (e.g., Pinecone, PGVector) and their application in semantic search and insight generation
- Deep understanding of data modeling for analytical systems (star/snowflake schemas, OLAP, dimensional modeling)
- Experience working with modern cloud platforms (AWS, GCP, Azure) and big data storage engines (BigQuery, ClickHouse, Snowflake)
- Proven ability to balance technical depth with product intuition—able to align platform direction with user value and business goals
- Exceptional communication and collaboration skills across functions—engineering, product, data science, and executive stakeholders
- Ability to define and influence architectural direction at an organizational level
- Experience mentoring staff- and senior-level engineers and setting long-term engineering strategies
- Prior experience in security analytics, threat detection, or operationalizing security data at scale
- Exposure to natural language query systems or AI copilots (e.g., NL2SQL, prompt engineering, question-answering)
- Contributions to open-source platforms in analytics, AI infrastructure, or LLM tools
Benefits
- Flexible, remote-friendly workplace with a mission that matters
- Join a high-impact team building the future of AI-driven security intelligence
- Drive architectural decisions on next-gen analytics and ML infrastructure
- Collaborate with world-class engineers and researchers in an innovation-driven culture
