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- Tasks: Design and deploy cloud infrastructure, ensuring scalability and security for AI products.
- Company: Solve Intelligence is a fast-growing startup revolutionising IP management with AI technology.
- Benefits: Enjoy competitive salary, equity options, private medical insurance, and free meals.
- Why this job: Join a talented team, make a real impact, and help shape the future of legal tech.
- Qualifications: 5+ years in cloud infrastructure, strong Python skills, and expertise in security best practices.
- Other info: Full visa sponsorship available; work alongside industry leaders in a dynamic environment.
The predicted salary is between 72000 - 150000 ÂŁ per year.
Founding Infrastructure & Security Engineer
Join to apply for the Founding Infrastructure & Security Engineer role at Solve Intelligence
Founding Infrastructure & Security Engineer
Join to apply for the Founding Infrastructure & Security Engineer role at Solve Intelligence
This range is provided by Solve Intelligence. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$120,000.00/yr – $250,000.00/yr
Are you passionate about AI and eager to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want significant ownership in a startup building something people want with real paying users and significant traction? Here\’s your chance!
️ About the role
We are looking for super-talented infrastructure/DevOps engineers to help us build and secure the backbone of our products extremely fast. You’ll be joining the most lean, talent-dense, and fast-moving engineering team in London.
You’ll Be Responsible For
- Designing and deploying cloud infrastructure. Own our AWS estate with Terraform, ensuring scalability, reliability, and cost-efficiency.
- Building and maintaining our data layer. Operate multi-tenant PostgreSQL clusters, craft zero-downtime migrations, and write Python services that power our AI workflows.
- Creating and improving CI/CD pipelines. Enable the team to ship safely and quickly using GitHub Actions, Docker, and modern deployment strategies.
- Building first-class observability – Wire up metrics, traces, and logs (OpenTelemetry, Datadog / Grafana) so we spot issues before users do.
- Optimising for performance. Profile and tune infrastructure, database queries, and application code to minimise latency and maximise throughput for our AI workloads.
- Championing security – Lead threat modelling, incident response drills, and vulnerability management; harden auth, networking, and secrets.
- Building across the stack. Roll up your sleeves when needed to get features shipped end-to-end.
- Assembling a world-class engineering team. Partner with our founders to build, scale, and set the culture of our engineering team.
About Solve Intelligence
We’re the fastest growing startup building AI products to transform how IP professionals work. We’re building an AI-powered end-to-end platform to help with every aspect of invention harvesting, patent generation, and IP portfolio management (see TechCrunch, Series A announcement).
One year since we started Solve Intelligence as three hackers building cool stuff with AI, we’ve been growing super fast. Our revenue is increasing 20-30%+ month-on-month, and we’re now selling to 200+ IP teams across the US, Europe, Asia, and South America. These include some of the largest law firms in the world such as DLA Piper, smaller boutiques, solo practitioners, tech startups, and large enterprises.
Our users love our product, reporting 50-90% efficiency improvements (see our testimonials).
We’re on a high-growth trajectory, and we’re looking for people who want to join us on the journey to building a billion-dollar company.
Come join the rocket ship
Who you’ll work with
Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com.
Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech.
Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day.
You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts.
️ What you bring
As our founding infrastructure & security engineer, you will have extensive experience building software to solve impressively difficult problems through past projects, designs, or GitHub contributions.
Must Haves
- 5+ years owning cloud infrastructure at scale (AWS preferred).
- Expert with Infrastructure as Code (Terraform or similar).
- Deep experience with PostgreSQL (multi-tenant architecture, migrations, performance tuning).
- Proven track record building and maintaining CI/CD pipelines.
- Solid understanding of security best practices (IAM, networking, incident response).
- Strong Python skills.
Preferred Haves
- Experience with ECS or container orchestration.
- Experience with distributed task queues / worker systems (Celery, Sidekiq, Resque, SQS, etc.).
- Familiarity with observability stacks (Datadog, Prometheus, Grafana, Sentry).
- Exposure to compliance frameworks (SOC 2, ISO 27001).
Nice To Haves
- Experience with AI/ML infrastructure.
- Background in offensive security or CTFs.
What we offer
- Competitive base salary depending on skill and experience.
- Significant equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead.
- Full visa sponsorship.
- Opportunity to work with a super smart and ambitious group of people building something people want.
- Private medical insurance.
- Free meals.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Software Development
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Founding Infrastructure & Security Engineer employer: Solve Intelligence
Contact Detail:
Solve Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Infrastructure & Security Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in cloud infrastructure and security, especially around AWS and Terraform. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise.
✨Tip Number 2
Network with current employees or industry professionals who have experience in similar roles. Engaging in conversations about their experiences at Solve Intelligence can provide you with valuable insights and potentially a referral.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to infrastructure and security.
✨Tip Number 4
Stay updated on compliance frameworks relevant to the role, such as SOC 2 and ISO 27001. Showing that you understand these standards and their importance in a startup environment can set you apart from other candidates.
We think you need these skills to ace Founding Infrastructure & Security Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud infrastructure, DevOps, and security practices. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your desire to work in a startup environment. Mention specific projects or experiences that align with the responsibilities of the role.
Showcase Technical Skills: In your application, emphasise your expertise in AWS, Terraform, PostgreSQL, and CI/CD pipelines. Provide examples of how you've successfully implemented these technologies in past roles.
Highlight Team Collaboration: Discuss your experience working in teams, especially in fast-paced environments. Mention any leadership roles or contributions to team culture that would resonate with the company's values.
How to prepare for a job interview at Solve Intelligence
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with AWS and Infrastructure as Code, particularly Terraform. Be prepared to discuss specific projects where you designed and deployed cloud infrastructure, focusing on scalability and cost-efficiency.
✨Demonstrate Security Knowledge
Since security is a key aspect of this role, be ready to talk about your understanding of security best practices. Discuss any experience you have with threat modelling, incident response, and vulnerability management to show that you can champion security effectively.
✨Prepare for Technical Questions
Expect in-depth technical questions related to PostgreSQL, CI/CD pipelines, and Python. Brush up on performance tuning and zero-downtime migrations, as these are crucial for the role. Consider preparing a few examples from your past work to illustrate your skills.
✨Cultural Fit and Team Dynamics
This startup values a strong team culture, so be ready to discuss how you can contribute to building a world-class engineering team. Share your thoughts on collaboration and how you’ve worked with others to achieve common goals in previous roles.
