Sr. Staff Engineer, Agentic AI
About the team
We are seeking an exceptional Engineer to build next-generation security analytics and AI-powered capabilities within Netskope's 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 Sr.Staff Engineer, you will own the architecture and delivery of cloud services that handle large volumes of data and traffic for enterprise customers. You’ll set technical direction, raise the engineering bar for the team, and ship.
What's in it for you
This is your chance to work at the absolute intersection of Artificial Intelligence, large-scale Data Systems, and Cybersecurity. You won't just use existing tools; you will be designing and implementing sophisticated, cutting-edge systems that fundamentally change how enterprises detect and respond to threats.
What you will be doing
Design, build, and operate scalable, high-performance backend services in Python on AWS
Architect distributed systems with sound tradeoffs across consistency, availability, latency, cost, and operational complexity
Provide technical leadership across the full project lifecycle, from discovery and design through delivery and operations
Use AI-native development workflows (Claude Code) to accelerate design, implementation, testing, code review, and debugging, and help the team develop effective practices for doing so
Partner with product and customers to turn requirements into well-scoped, well-designed features
Investigate and resolve production issues, and drive improvements to observability, reliability, and incident response
Improve engineering processes, CI/CD, and developer tooling
Required skills and experience
12+ years of software development experience, including building enterprise-grade backend systems
Expert-level Python, with strong experience building production backend services and REST APIs
Deep experience with AWS and cloud architecture (e.g., compute, storage, networking, messaging, IAM, managed data services)
Strong distributed systems fundamentals: scalability, fault tolerance, concurrency, data consistency, and event-driven or asynchronous architectures
Solid knowledge of databases and data stores, both relational and NoSQL (OLTP and OLAP)
Hands-on experience with Docker and Kubernetes
Demonstrated fluency with AI-native development, including daily, hands-on use of Claude Code or similar agentic coding tools. You can describe how you decompose work for an AI agent, review and validate its output critically, and maintain quality, security, and maintainability while moving faster.
Strong analytical and troubleshooting skills
Comfort working in a fast-paced environment where you might lead a design one week and fix a critical bug or improve CI the next
Nice to have
Hands-on experience building production LLM agents, including orchestration frameworks like LangGraph, ReAct-style reasoning and tool-use loops, and deep agent patterns (planning, sub-agents, long-running tasks)
Experience with observability tooling and SLO-driven operations
Experience with Infrastructure as Code (Terraform, CDK, CloudFormation)
Experience with streaming and messaging systems (Kafka, Kinesis, SQS/SNS)
Education
BSCS or equivalent required, MSCS or equivalent strongly preferred
#LI-JB3