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Software Engineer, Data- job post Keycard Labs

Faro, Yukon
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IT / Software / Data Analyst
#781392
Remote / WFH
Keycard Labs

Job Description

Full job description
About Keycard
At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

We’re a small, distributed team of repeat founders and builders, with backgrounds from Snyk, Auth0, HashiCorp, and Heroku.

Joining Keycard now means helping define not just our technology, but also the culture and company we’re building together—during a once-in-a-generation platform shift.

The Role
We're hiring a Staff Data Engineer to design and build the operational data systems that power Keycard — the pipelines, storage layers, and APIs that drive near real-time enforcement, feedback loops, and customer insights. At Keycard, data isn't exhaust — it's core to the product.

The systems you build will serve both the transactional needs of our core identity services and the OLAP requirements that help organizations understand and improve their security posture. You'll balance streaming and batch paradigms — knowing when low-latency streaming is essential and when batch provides clarity and power. Your work will span from integrating external data sources to enabling policy evaluation to surfacing insights in dashboards and APIs.
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