Infrastructure Engineer
US$120,000 – US$250,000 / yr base salary
Posted 5 Jan 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
- Visa sponsorship
- Offered
| Base salary | US$120,000 – US$250,000 / yr |
|---|
At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a brilliant Infrastructure Engineer to build the secure, scalable engine that makes it all possible.
🏗️ The Role: Infrastructure Engineer
You’ll be joining the leanest, most talent-dense engineering team in London. You aren't just managing servers; you are designing the multi-region, high-throughput systems that handle complex AI workloads.
What you’ll own:
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Cloud Architecture: Design and maintain our AWS environment using Terraform, optimizing for reliability, cost-efficiency, and massive scale.
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Global Footprint: Build infrastructure patterns for multi-region deployment and fully isolated single-tenant environments for enterprise customers.
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Developer Velocity: Architect CI/CD pipelines (GitHub Actions, Docker) that allow our team to ship safely and quickly.
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Observability & Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do.
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AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency.
💡 About Solve Intelligence
We’re the fastest-growing startup transforming the IP industry.
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Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises).
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Proven Value: Users report 50-90% efficiency gains using our AI platform.
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Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others.
👋 Your Team
You’ll partner with a founding team of AI PhDs and elite systems engineers:
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Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).