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.
- Shape the future: Be at the forefront of securing NHI and Agentic AI, a space redefining how enterprises operate.
- Tackle massive scale: Work on distributed systems and architectures that manage billions of identities and interactions.
- Ownership & impact: Senior engineers here drive projects end-to-end, with influence across both technical direction and product outcomes.
- Cutting-edge stack: From cloud-native systems to AI infra and coding agents, you’ll work on technologies that define tomorrow’s engineering landscape.
- Build AI agents and workflows that understand user intent and take safe, validated actions across enterprise systems
- Develop the pipelines that map agent intent → required permissions → secure, short-lived session provisioning
- Implement observability for every action: tracing, audits, reproducibility, and compliance-ready metadata
- Work on integrations with SaaS apps, cloud platforms, and internal tools to expand AAM’s access ecosystem
- 5+ years of software engineering experience - preferably with exposure to AI-driven products or infrastructure
- Strong Python skills (or equivalent) for building backend services, tooling, and orchestration layers
- Proven experience working with LLMs and AI agents in applied settings
- Familiarity with LangGraph, LangChain, OpenAI or Anthropic frameworks
- Strong understanding of containerized development workflows and cloud-based environments
- Ability to think carefully about safety, auditability, and compliance - building systems that are secure, observable, and reliable at scale.
- Background in evaluation frameworks or agent performance measurement
- Familiarity with vector databases, RAG pipelines, and graph-based context construction
- Familiarity with identity and access security.
Equal opportunity
Oasis Security is an equal opportunity employer. We are committed to building a workforce that reflects the world we're securing. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, or disability status. Oasis Security does not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Oasis Security.
Skills Required
- 5+ years of software engineering experience
- Strong Python skills (or equivalent) for building backend services
- Proven experience working with LLMs and AI agents
- Familiarity with LangGraph, LangChain, OpenAI or Anthropic frameworks
- Strong understanding of containerized development workflows and cloud-based environments
What We Do
Oasis is the market leading platform for non-human identity management. Our mission is to fortify cybersecurity defenses by enabling enterprises to efficiently secure non-human identities throughout their lifecycle. The shift to hybrid multi-cloud, microservices, agile development and AI-driven business process automation has led to the exponential growth of non-human identities, completely changing the identity fabric of enterprise environments. We created the first enterprise platform purpose-built to address the security and operational challenges of Non-human Identities. Our platform empowers security, engineering and developers teams to improve security posture, implement stronger governance and simplify compliance by taking control of the non-human identity lifecycle without risking system resilience and without operational complexity.
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