Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
As the Team Lead, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail youll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a unique opportunity to be part of a start-up inside the company, delivering the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.
As the Team Lead, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail youll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a unique opportunity to be part of a start-up inside the company, delivering the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or a related field.
3+ years of experience as a software team leader in a product-based company.
5+ years of hands-on development experience in at least one of the following languages: Python, Go, Java, or C#.
Proven experience with CI/CD processes and agile development methodologies.
Strong interpersonal and communication skills.
Demonstrated ability to manage and develop a team with varying levels of experience.
Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
Self-motivated and goal-oriented with a high work ethic.
Ability to balance long-term architectural vision with fast-paced delivery, especially in early-stage or startup environments.
Deep understanding of identity & access management, secrets management, or zero-trust architecture – Bonus.
Experience with agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) – Bonus.
Bachelors degree in Computer Science, Software Engineering, or a related field.
3+ years of experience as a software team leader in a product-based company.
5+ years of hands-on development experience in at least one of the following languages: Python, Go, Java, or C#.
Proven experience with CI/CD processes and agile development methodologies.
Strong interpersonal and communication skills.
Demonstrated ability to manage and develop a team with varying levels of experience.
Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
Self-motivated and goal-oriented with a high work ethic.
Ability to balance long-term architectural vision with fast-paced delivery, especially in early-stage or startup environments.
Deep understanding of identity & access management, secrets management, or zero-trust architecture – Bonus.
Experience with agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) – Bonus.
This position is open to all candidates.
