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For Companies At a Glance
- Tasks: Build and secure cloud infrastructure for groundbreaking AI projects.
- Company: Fast-growing startup with a rock-star team and innovative culture.
- Benefits: Competitive salary, equity ownership, private medical insurance, and free meals.
- Why this job: Join a talented team and make a real impact in the legal landscape.
- Qualifications: 5+ years of cloud infrastructure experience and expertise in Terraform.
- Other info: Work alongside industry leaders and enjoy significant career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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/SRE 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:
- Owning our cloud infrastructure.
- Design and maintain our AWS environment using Terraform, ensuring reliability, scalability, and cost efficiency.
- Multi-region deployment and tenancy.
- Build infrastructure patterns that let us spin up fully isolated environments across different regions and support single-tenant customers.
- Creating and improving CI/CD pipelines.
- Enable the team to ship safely and quickly using GitHub Actions, Docker, and modern deployment strategies.
- Observability and reliability.
- Instrument metrics, logs, and traces with OpenTelemetry, Datadog, and Grafana to detect and resolve issues before users do.
- Optimising for performance.
- Tune autoscaling, network routing, and load balancing to handle AI workloads with low latency and high throughput.
- Infrastructure excellence.
- Drive best practices in monitoring, deployment, fault tolerance, and incident management.
- Collaboration.
- Work closely with application engineers to make sure our infrastructure supports rapid iteration and reliable scaling.
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).
- Proven track record building and maintaining CI/CD pipelines.
- Strong understanding of cloud networking, autoscaling, and load balancing.
- Solid understanding of security best practices (IAM, networking, incident response).
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).
- Strong Python skills.
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.
Infrastructure Engineer in London employer: Solve Intelligence, Inc.
Contact Detail:
Solve Intelligence, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a personal project or contribute to open-source initiatives that showcase your expertise in cloud infrastructure and CI/CD pipelines. This not only builds your portfolio but also demonstrates your passion and commitment to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AWS, Terraform, and CI/CD practices. Practice explaining your past projects and how you've tackled challenges in infrastructure management. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our rock-star team!
We think you need these skills to ace Infrastructure Engineer in London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for AI and infrastructure engineering! Share any relevant projects or experiences that highlight your passion and how you can contribute to our groundbreaking work.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with what we're looking for!
Highlight Your Achievements: Don’t just list your responsibilities; showcase your accomplishments! Use metrics and examples to demonstrate how you've made a real impact in your previous roles, especially in cloud infrastructure and CI/CD.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Solve Intelligence, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Terraform, and CI/CD tools. Brush up on your knowledge of cloud networking and security best practices, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or maintained cloud infrastructure. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company and its projects. Ask about their current infrastructure challenges or how they envision scaling their systems. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Emphasise Collaboration
Since the role involves working closely with application engineers, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to achieve common goals, which is crucial in a fast-moving startup.