Backed by Lightspeed.
About the role
We're building at the intersection of developer productivity and security, one of the fastest-growing spaces in software. Our developer-loved platform delivers measurable ROI, strong market momentum, and a customer base that deeply values our mission. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A Track Record of Scaling MongoDB : You've redesigned a shard key, rebalanced chunks, or re-architected zone placement on a cluster that outgrew its original design, and you know the tradeoffs each option carries
- Kubernetes Proficiency : Hands-on experience with Kubernetes and the CNCF ecosystem in production, including debugging multi-cluster networking issues
- Cloud Native Engineer : Experience with at least one major cloud provider (Azure, Google Cloud, or AWS — in that order of preference)
- Infrastructure as Code Practitioner : Experience managing infrastructure with Terraform, OpenTofu, or Terragrunt, including reusable modules and state management at scale
- Observability Advocate : Hands-on experience with Prometheus and Grafana, including designing SLIs/SLOs and dashboards that help teams operate distributed systems
- Clear Communicator : Able to explain complex technical tradeoffs to both technical and non-technical audiences, and to document decisions so others can build on them
More about this role
AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and...
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