Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale.
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Couchbase is the Operational Data Platform for AI. Our customers don't run AI in a lab — they run it in production, where agents remember, reason, and act on live operational data. With the Couchbase AI Data Plane, we give those agents one governed layer for memory, context, tool access, and MCP, deployed anywhere from public cloud to Kubernetes to the edge to air-gapped environments. Amadeus, Cisco, Comcast, FICO, PepsiCo, United, Verizon, and Wells Fargo trust us with their data.
That means AI security isn't a side topic here. It's adjacent to the product, and it's the environment we operate in every day.
We're hiring a Sr. Security Operations Engineer to join Couchbase's global Information Security team as our second dedicated SecOps engineer.
We think the interesting work in security operations right now sits at the intersection of two things. The first is that AI has changed what a capable adversary can do at scale, which changes what detection and response have to look like. The second is that AI is also the most useful thing to happen to defenders in years — and we'd rather be early than careful about that.
We use AI internally in security operations, not as a pilot: triage agents that risk-rank and route findings, automated threat modeling with human review at closure, reachability scoring that separates real exposure from scanner noise, and AI-assisted detection and response workflows. We want someone who will build on that, push it further, and stay clear-eyed about where it earns trust and where it doesn't.
Roughly half your time is operational — triage, investigation, containment, tuning. The other half is engineering and program work: building detection content, automating response, and running security capabilities across cloud, identity, endpoint, and AI governance. You'll work across Engineering, SRE, IT, Cloud, Legal, and Compliance, and you'll own outcomes rather than tickets.
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