Lead Software Engineer- Agentic Identity

What you'll do

• Designs, develops, reviews, and troubleshoots secure production software; improves application stability through automation.
• Sets team practices for AI-assisted engineering, including validation of AI outputs for correctness, performance, and security.
• Defines identity standards and security models for agents and other non-human principals in distributed environments.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Advanced proficiency in one or more programming languages, such as Java or Python.
• Expertise in IAM, including OAuth 2.0, OpenID Connect (OIDC), and token-based authorization; experience securing agentic AI systems at enterprise scale.
• Experience leading responsible use of approved AI-assisted software development tools and coaching engineers on safe, compliant practices.

Nice to have

• Working knowledge of delegated authorization, token exchange flows (e.g., RFC 8693), and least-privilege scope models.
• Exposure to verifiable credentials or decentralized identity, or experience managing non-human identity lifecycles.

Tools

Java, Python, OAuth 2.0, OpenID Connect (OIDC), RFC 8693, Model Context Protocol, AWS, CI/CD

AI focus

Leads adoption of approved AI-assisted engineering tools and secures agentic AI systems, including identity, authentication, authorization, and responsible-use practices.