Key skills
JavaScalaAIMLLLMRAGAgenticAnalyticsAWSKubernetesDockerSageMakerBedrockLeadershipCloud Security
About this role
Netskope is a market-leading cloud security company that aims to redefine Cloud, Network, and Data Security. They are seeking an exceptional Principal Engineer to build next-generation security analytics and AI-powered capabilities within their platform, focusing on solving complex security challenges using advanced AI/ML techniques and real-time data processing.
Responsibilities:
- Drive the enhancement of Agentic AI security capabilities, by enabling the continuous detection and posture management of sensitive or risky data. This includes data utilized in (but not limited to) training private LLMs or accessed and acted upon by public or multi-agent LLM systems
- Improve the Agentic AI platform to extend seamless support to all major cloud infrastructures, on-prem deployments, and any new upcoming data or AI-centric technologies
- Provide technical leadership in all phases of a project, from discovery and planning through implementation and delivery
- Contribute to product development: understand customer requirements and work with the product team to design, plan, and implement features
- Support customers by investigating and fixing production issues
- Help us improve our processes and make the right tradeoffs between agility, cost, and reliability
- Collaborate with the teams across geographies
Requirements:
- 14+ years of software development experience with enterprise-grade software
- Must have experience in building scalable, high-performance cloud services
- Expert coding skills in Scala or Java
- Development on cloud platforms including AWS
- Deep knowledge on databases and data warehouses (OLTP, OLAP)
- Analytical and troubleshooting skills
- Experience working with Docker and Kubernetes
- Able to multitask and wear many hats in a fast-paced environment
- Expertise in building REST APIs
- BSCS or equivalent required
- Cybersecurity experience and adversarial thinking is a plus
- Experience leveraging cloud-based AI services (e.g., AWS Bedrock, SageMaker), vector databases, and Retrieval Augmented Generation (RAG) architectures is a plus
- MSCS or equivalent strongly preferred