At a Glance
- Tasks: Own AWS infrastructure, lead customer deployments, and ensure production reliability.
- Company: Join SolveAI, a pioneer in enterprise software innovation.
- Benefits: High-impact role with ownership, visibility, and cutting-edge AI tools.
- Other info: Dynamic team environment focused on innovation and customer success.
- Why this job: Shape the future of enterprise software while solving real-world business challenges.
- Qualifications: Deep AWS expertise, strong Kubernetes knowledge, and excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
About SolveAI
SolveAI empowers enterprise business users to solve their most critical problems by enabling them to build custom full-stack applications through natural language conversations. Our product is designed for non-technical business users, those closest to the problems, allowing them to turn their insights into production-ready, enterprise-grade solutions. We integrate seamlessly with existing enterprise tech stacks while adhering to strict IT security and compliance standards, giving organizations the freedom to innovate without compromising system integrity, maintainability, or data protection. Our approach is rooted in an enterprise-first philosophy and a problem-solving mindset, ensuring that we create scalable, compliant, and high-impact solutions tailored to each customer's environment.
What We Offer
- High-impact environment: Join a company shaping the future of enterprise software, working with a team that's redefining how AI meets real-world business needs.
- Ownership and visibility: In a small, high-performing team, the impact of your work isn't theoretical - it actively shapes the company's direction.
- Empowerment through innovation: Use cutting‑edge AI tools internally. You'll be working with the same technology we deliver to enterprises.
About the role
This is a high-leverage, high-ownership role and you'll set technical direction across reliability, observability, and customer deployability. What makes it unusual is that you'll be the person enterprise security and infrastructure teams talk to when they have hard questions. As much as this is an internal platform role, it's also a customer-facing one. You'll be on calls with customer architects, leading on‑prem rollouts, and navigating the compliance requirements of some demanding environments.
What you'll do
- Own our AWS footprint, EKS clusters, and Terraform codebase: design, evolve, harden.
- Build and operate the observability stack (Datadog) so we catch problems before customers do: metrics, traces, logs, alerting, SLOs.
- Design for multi-tenancy: isolation, performance, cost attribution, noisy‑neighbour mitigation.
- Lead our customer deployment story: make it straightforward for enterprises to run SolveAI in their own AWS / Azure / GCP accounts, or fully on‑prem.
- Be the technical lead on customer security reviews, architecture deep‑dives, and on‑prem rollouts.
- Own CI/CD, secrets management, and the developer experience that lets engineers ship safely and fast.
- Own production reliability: incident response, post‑mortems, capacity planning.
- Help shape our compliance posture (SOC 2, ISO 27001, financial‑services requirements) as we grow.
What we're looking for
Beyond technical depth, we're looking for:
- Ownership: You treat the platform as yours. You don't wait to be told something is broken and you don't hand problems off.
- Customer instinct: You're comfortable talking to enterprise security and infra teams. You can take a hard technical question and give a clear, honest answer.
- Pragmatism: You know the difference between good enough to ship and good enough to last. You make that call correctly.
On the technical side:
- Deep AWS expertise: VPC, IAM, EKS, networking.
- Strong Kubernetes knowledge — operator level, not just kubectl.
- Terraform fluency: module design, state management, multi‑account patterns.
- Strong observability instincts: alerting that doesn't burn people out, symptoms vs causes.
- Experience supporting enterprise customers running your software in their own environments (BYOC or on‑prem), or a strong appetite to figure it out.
- Comfortable enough in Rust and Python to trace a problem from infrastructure all the way into application code.
- Strong written communication: you'll be talking to customer architects as much as our own engineers.
Nice to have
- Experience with air‑gapped or on‑prem distributions of cloud‑native software.
- Helm, ArgoCD, or similar GitOps tooling.
- Background with high‑throughput / low‑latency systems.
- Cost optimisation experience at AWS scale.
Why SolveAI
At SolveAI, you'll work alongside a team that's spent decades solving the hardest enterprise challenges, from operational inefficiencies to data fragmentation. If you want to see real change in the world, care deeply about value add, and thrive when given ownership in unfamiliar environments, we'd love to hear from you.
Infrastructure Engineer in London employer: SolveAI
SolveAI is an exceptional employer that fosters a high-impact environment where your contributions directly shape the future of enterprise software. With a strong emphasis on ownership and innovation, employees are empowered to utilise cutting-edge AI tools while collaborating closely with both internal teams and enterprise customers. The company culture promotes continuous growth and learning, making it an ideal place for those seeking meaningful and rewarding employment in a dynamic and supportive setting.
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 folks in the industry, attend meetups, and connect with people 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
Prepare for those interviews! Research the company, understand their tech stack, and be ready to discuss how your skills align with their needs. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can set you apart. Make sure to highlight any relevant experience with AWS, Kubernetes, or Terraform.
✨Tip Number 4
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 team at SolveAI.
We think you need these skills to ace Infrastructure Engineer in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to shape the future of enterprise software with us.
Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences. We’re looking for specific examples that demonstrate your ownership mindset and technical expertise in AWS, Kubernetes, and Terraform.
Be Clear and Concise:We appreciate strong written communication, so keep your application clear and to the point. Avoid jargon unless it’s necessary, and make sure your key points stand out. We want to understand your qualifications quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at SolveAI
✨Know Your Tech Inside Out
Make sure you have a solid grasp of AWS, Kubernetes, and Terraform. Be ready to discuss your experience with these technologies in detail, as well as how you've used them to solve real-world problems. This role is all about technical depth, so don’t shy away from showcasing your expertise!
✨Showcase Your Customer Instincts
Prepare to talk about your experiences interacting with enterprise security and infrastructure teams. Think of examples where you’ve tackled tough questions or provided clear solutions. This will demonstrate your ability to communicate effectively with customers and understand their needs.
✨Demonstrate Ownership and Pragmatism
Be ready to share instances where you took ownership of a project or problem. Highlight how you made decisions on what was 'good enough to ship' versus what needed more work. This shows that you can balance quality with practicality, which is crucial for this role.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that test your problem-solving skills. Think through potential challenges you might encounter in the role, such as compliance issues or deployment hurdles, and be prepared to discuss how you would address them. This will help illustrate your proactive mindset.
