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 Agentic AI team is building the next-generation Agentic AI and conversational system, a pivotal solution designed to elevate Netskope's user experience and the overall security of customer data and networks. By leveraging underlying systems and data capabilities, this system will significantly enhance network security, substantially reducing the operational overhead for customers in maintaining a secure posture. This solution is central to the company's next phase of offerings.
We seek experienced, hands-on engineers to develop optimised Multi-Agent workflows for data products. This impactful role involves collaborating with engineering and product teams to build highly scalable systems that address real-world security challenges. The resulting solutions must be accurate, provide high confidence to customers, and integrate seamlessly across various Netskope products.
What's in it for you
- You will be part of the team that brings together the power of an Agentic System to network and data security solutions
- You will be part of a growing team of renowned industry experts in the exciting space of Network and Data security
- 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 innovation by integrating the latest AI/ML techniques into security products and services.
- Drive the end-to-end development and deployment of Agentic assistant, powered by cutting-edge Multi-Agent Workflows.
- Implement comprehensive evaluation and observability strategies for the Agentic AI Solutions
- 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.
- 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.
- 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.
Required skills and experience
- Software Engineering
- 8-12 years of software engineering experience with demonstrated progression to senior roles.
- 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.
- Experience in system cost optimization
- AI/ML Expertise
- Experience with working with LLM and Agentic systems
- Expertise in prompt engineering patterns such as chain of thought, ReAct, zeroshot and fewshot.
- 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.
- Proficiency in working with vector databases such as PGVector, Pinecone, and Weaviate.
Good-to-Have Skills and Experience
- AI/ML Expertise
- Has built & deployed a multi-agent or agentic RAG workflow in production.
- 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
- Understanding of cloud platforms (AWS, Azure, GCP) and their services.
- Experience with network security concepts, extended detection and response, and threat modeling.
Education
- BSCS or equivalent required, MSCS or equivalent strongly preferred
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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.
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.
