Related skills
okta java python kubernetes go📋 Description
- Design distributed systems linking AI agents, identities, and data for real-time visibility.
- Build governance and security frameworks to detect and prevent risky agent behavior.
- Develop agent observability infrastructure: telemetry, audits, and analytics across agents.
- Architect and scale systems handling millions of agent decisions per day with low latency.
- Design real-time enforcement to safely deploy AI agents in enterprises.
- Create intelligent feedback systems to improve agent trustworthiness.
🎯 Requirements
- BS/MS/PhD in CS or related with strong systems/security foundation.
- 7+ years of experience in a related field.
- Experience building large-scale distributed systems processing real-time data and enforcing policies.
- Background in AI or agentic systems; familiarity with LangChain, AutoGen, CrewAI.
- Proficiency in cloud-native architectures including Kubernetes, microservices, and observability.
- Knowledge of enterprise identity/security systems (Okta, Entra, OAuth, MDMs, EDRs).
🎁 Benefits
- US pay range: $188,500 – $282,700 USD; eligible for bonus, equity, and benefits.
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