Engineering Team Lead - AAM

About Oasis Security

At Oasis Security, we're redefining how enterprises manage access in the age of AI.

Every organization deploying AI agents is taking on access risks they can't yet see, and the tools they've relied on were never built for this. We built Oasis to change that.

Backed by Sequoia, Accel, and Craft Ventures, we're trusted by dozens of Fortune 500 companies including S&P Global, Mars, and Nationwide, and we're only getting started.

Why Oasis, why now

The access management category is being rewritten in real time, and Oasis is leading it.

The problems are genuinely hard, the company is growing fast, and you're early enough to shape both the product and the team.

Why join us?

• Define a new category: AAM is a greenfield space - you'll have the rare opportunity to shape both the product and the engineering culture around it.
• Lead with impact: Guide a team working at the intersection of AI and security, directly shaping how enterprises govern AI-driven systems.
• Cutting-edge challenges: From securing billions of machine-to-machine interactions to building observable, auditable AI agent pipelines, you'll tackle problems few companies are even thinking about today.
• Grow engineers & culture: Beyond building systems, you'll build people: mentoring, coaching, and driving a culture of technical excellence.
  
  

• Lead a team designing and building the AAM platform end-to-end - from agent intent parsing to ephemeral, least-privilege session provisioning.
• Develop AI agents and workflows that understand user intent and take safe, validated actions across enterprise systems.
• Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and monitoring.
• Implement observability for every action: tracing, audits, reproducibility, and compliance-ready metadata.
• Partner with product managers to translate requirements into scalable, secure solutions.
• Mentor engineers and lead design/code reviews to ensure high-quality delivery.
  
  

• 2+ years leading engineering teams, ideally in cybersecurity, AI infrastructure, or adjacent spaces.
• 6+ years of software engineering experience with a focus on scalable architecture and system design.
• Strong Python/Node.js skills (or equivalent) for building backend services, tooling, and orchestration layers.
• Proven experience working with LLMs and AI agents in applied, production settings.
• Familiarity with LangGraph, LangChain, OpenAI, or Anthropic frameworks.
• Strong understanding of security principles in modern cloud and SaaS environments.
• Ability to think carefully about safety, auditability, and compliance — building systems that are secure, observable, and reliable at scale.