Infrastructure Engineer

🇺🇸 San Francisco, California
$1K - $2K Annual
Posted 2 days ago
Expires August 30, 2026
Full TimeOn-siteEngineering

Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous; with no tickets, approvals, or manual processes slowing companies down.

Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understands their org, takes action across systems, and gets smarter over time. We've raised $29M, backed by Thrive Capital (investors in OpenAI, Stripe, GitHub) and a small group of founders who have built category-defining companies.

We’re unusually selective about the people we work with. We hire builders who span functions, optimize for speed, and care deeply about their craft. We do not care about pedigree. We have a lot of work ahead of us. Join us.

ABOUT THE ROLE

As an Infrastructure Engineer at Console, you’ll build the foundation that lets Console run reliably for the world’s largest enterprises. You’ll own the cloud infrastructure, deployment models, and core runtime systems that need to scale as customers trust Console with more of their operational workflows.

This role sits close to the hardest parts of the product: making our cloud-hosted platform enterprise-grade, scaling the graph and search infrastructure behind Console’s context layer, and building a self-hosted deployment model that works for customers with strict security, data, and infrastructure constraints. You’ll make foundational architecture decisions across reliability, performance, cost, isolation, and operability.

You’ll work across product engineering, platform, security, and customer-facing teams to make Console deployable in the environments our customers actually run. The best people in this role are infrastructure builders who want to own real systems end-to-end: from architecture and implementation t...

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