Engineering Team Lead

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?

• Shape the future: Be at the forefront of securing NHI and Agentic AI, a space redefining how enterprises operate.
• Lead with impact: Guide a team working on integrations at the heart of the Oasis platform, directly shaping how organizations secure NHI and AI-driven systems.
• Cutting-edge challenges: From scaling cloud-native infra to securing billions of machine-to-machine interactions, 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 developing deep SaaS and cloud integrations, from design through production.
• Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and monitoring.
• Drive a culture of ownership, innovation, and continuous improvement.
• Partner with product managers to translate requirements into scalable solutions.
• Mentor engineers and lead design/code reviews to ensure high-quality delivery.
  
  

• 2+ years leading engineering teams in cybersecurity or adjacent spaces.
• 6+ years of software engineering experience with a focus on scalable architecture and system design.
• Strong understanding of security principles in modern cloud and SaaS environments.
• Proven ability to design and deliver high-performance, large-scale systems.
  
  

• Experience with modern cloud infra (K8s, Docker, relational + NoSQL DBs, messaging systems).
• Familiarity with AI infrastructure (Bedrock, Foundry, etc.) and AI coding agents (Cursor, Claude Code, etc.).
• Familiarity with identity and access security.