Infrastructure Engineer
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- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 120,000–250,000 1 YEAR
- Stated sponsorship
- Available
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employer sponsorship
- available
“Support: Full visa sponsorship and private medical insurance.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 120,000–250,000 1 YEAR
7 fields not stated in this posting
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
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Original job description
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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:
Cloud Architecture: Design and maintain our AWS environment using Terraform, optimizing for reliability, cost-efficiency, and massive scale.
Global Footprint: Build infrastructure patterns for multi-region deployment and fully isolated single-tenant environments for enterprise customers.
Developer Velocity: Architect CI/CD pipelines (GitHub Actions, Docker) that allow our team to ship safely and quickly.
Observability & Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do.
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.
Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises).
Proven Value: Users report 50-90% efficiency gains using our AI platform.
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:
Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
🚀 Who You Are
We are a high-performance culture of "hackers" and builders.
Speed & Safety: You believe that great infrastructure is what allows application engineers to move faster.
Extreme Ownership: You strive for excellence in every configuration and take pride in "five nines" reliability.
Driven & Humble: You are willing to go the extra mile (including the occasional late night or weekend) to ensure our systems are bulletproof.
🛠️ What You Bring
Must-Haves:
Experience: Owning and scaling cloud infrastructure (AWS preferred).
IaC Expert: Professional mastery of Terraform or similar.
CI/CD Veteran: Proven track record of building deployment pipelines that don't break.
Security First: Deep understanding of IAM, cloud networking, and security best practices.
Preferred & Nice-to-Haves:
Experience with ECS, container orchestration, and distributed task queues (Celery/SQS).
Strong Python skills.
Familiarity with the Datadog/Grafana observability stack.
A background in offensive security, CTFs, or AI/ML infrastructure.
🎁 What We Offer
Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company.
Founding Impact: You will have a direct hand in every architectural decision we make.
Support: Full visa sponsorship and private medical insurance.
The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team.
Ready to build the backbone of the future of AI? Apply now. 🚀
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