At a Glance
- Tasks: Lead infrastructure projects, ensuring reliability and security for enterprise applications.
- Company: Join SolveAI, a trailblazer in AI-driven enterprise software solutions.
- Benefits: Competitive salary, innovative work environment, and opportunities for personal growth.
- Other info: Dynamic team culture focused on ownership and innovation.
- Why this job: Make a real impact by shaping the future of enterprise software with cutting-edge technology.
- 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 employer: SolveAI
At SolveAI, we pride ourselves on fostering a high-impact work environment where innovation meets real-world business needs. Our collaborative culture empowers employees to take ownership of their projects, ensuring that your contributions directly shape the future of enterprise software. With opportunities for professional growth and the chance to work with cutting-edge AI tools, joining our team means being part of a forward-thinking company dedicated to making a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Engineer
✨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 products, and be ready to discuss how your skills align with their needs. Practice common interview questions and think about how you can showcase your ownership and customer instinct.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company, showing them why you’re the perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’d be a fantastic addition to their team.
We think you need these skills to ace Infrastructure Engineer
Some tips for your application 🫡
Show Your Ownership Spirit:When writing your application, make sure to highlight your ownership mentality. We want to see how you take charge of projects and tackle challenges head-on. Share specific examples where you've gone above and beyond to solve problems.
Communicate Clearly:Strong written communication is key for this role. Use your application to demonstrate your ability to explain complex technical concepts in a straightforward way. Remember, you'll be talking to both engineers and customer architects, so clarity is crucial!
Tailor Your Experience:Make sure to align your skills and experiences with the job description. We’re looking for deep AWS expertise and strong Kubernetes knowledge, so don’t shy away from showcasing relevant projects or roles that highlight these skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you're keen on joining our team at SolveAI!
How to prepare for a job interview at SolveAI
✨Know Your Tech Inside Out
Make sure you brush up on your AWS, Kubernetes, and Terraform skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Your Customer Instinct
Prepare to talk about your experience with enterprise customers. Think of examples where you’ve had to explain complex technical concepts in simple terms or navigate tough questions from security teams. This will show that you can bridge the gap between tech and business.
✨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 will resonate well with their high-ownership culture.
✨Communicate Clearly and Confidently
Since you'll be interacting with both engineers and customer architects, practice articulating your thoughts clearly. Prepare to explain your past experiences and technical decisions in a way that’s easy to understand, showcasing your strong written and verbal communication skills.
