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
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.
We are looking for skilled engineers experienced with building and optimizing Multi-Agent & Agentic RAG workflows in production. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help build an embedded AI CoPilot across the different products at NetSkope
What's in it for you
- You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics
- Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products
- You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.
What you will be doing
- Drive the end-to-end development and deployment of CoPilot, an embedded assistant, powered by cutting-edge Multi-Agent Workflows. This will involve designing and implementing complex interactions between various AI agents & tools to deliver seamless, context-aware assistance across our product suite
- Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments.
- Apply MLOps & LLMOps best practices to deploy and monitor machine learning models & agentic workflows in production.
- Implement comprehensive evaluation and observability strategies for the CoPilot
- Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security.
- Collaborate with cloud architects and security analysts to develop cloud-native security solutions x platforms like AWS, Azure, or GCP.
- Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications.
- Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats.
- Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards.
- Drive innovation by integrating the latest AI/ML techniques into security products and services.
- Mentor junior engineers and provide technical leadership across projects.
Required skills and experience
- AI/ML Expertise
- Has built & deployed a multi-agent or agentic RAG workflow in production.
- Expertise in prompt engineering patterns such as chain of thought, ReAct, zero/few shot.
- Experience in Langgraph/Autogen/ AWS Bedrock/ Pydantic AI/ Crew AI
- Strong understanding of MLOps practices and tools (e.g., Sagemaker/MLflow/ Kubeflow/ Airflow/ Dagster).
- Experience with evaluation & observability tools like Langfuse/ Arize Phoenix/ Langsmith.
- Data Engineering
- Proficiency in working with vector databases such as PGVector, Pinecone, and Weaviate.
- Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink).
- Software Engineering
- Expertise in Python with experience in one other language (C++/Java/Go) for data and ML solution development.
- Expertise in scalable system design and performance optimization for high-throughput applications.
- Experience of building & consuming MCP clients & servers.
- Experience with asynchronous programming, including web-sockets, FastAPI, and Sanic.
Good-to-Have Skills and Experience
- AI/ML Expertise
- Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection.
- Experience with AI frameworks like Pytorch, TensorFlow and Scikit-learn.
- Data Engineering
- Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing.
- Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery.
- Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake.
- Graph database knowledge is a plus.
- Cloud and Security Knowledge
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their services.
- Experience with network security concepts, extended detection and response, and threat modeling.
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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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