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Solve Intelligence

Infrastructure Engineer

Solve Intelligence is hiring an Infrastructure Engineer in London, United Kingdom. It pays $120k-$250k a year and Level rates it ; you can apply on Solve Intelligence.

Level's read on this job

  • On Level's scale, this role is Little AI โ—โ—‹โ—‹โ—‹: aI is not part of the work.
  • Solve Intelligence mentions visa sponsorship in this posting.
  • Level lists 16 other open roles at Solve Intelligence.

AI in this role

At Solve Intelligence, weโ€™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.

๐Ÿ—๏ธ The Role: Infrastructure Engineer

Youโ€™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 youโ€™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.

๐Ÿ’ก About Solve Intelligence

Weโ€™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.

๐Ÿ‘‹ Your Team

Youโ€™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).

๐Ÿš€ 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.

๐Ÿ› ๏ธ 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.

๐ŸŽ 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. ๐Ÿš€

How we rate this

Infrastructure Engineer at Solve Intelligence rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. โ—โ—โ—โ— Builds AI80 to 100
  2. โ—โ—โ—โ—‹ Works on AI60 to 79
  3. โ—โ—โ—‹โ—‹ Uses AI40 to 59
  4. โ—โ—‹โ—‹โ—‹ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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