Infrastructure Engineer

solve.aiยท Engineering
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๐Ÿ“ LondonFullTime

About this role

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.

We create a future where building enterprise software is as natural as having a conversation!

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 โ€” 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.

Frequently Asked Questions

Is the salary disclosed for the Infrastructure Engineer position at solve.ai?
The salary for this Infrastructure Engineer role at solve.ai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Infrastructure Engineer position at solve.ai located?
This Infrastructure Engineer role at solve.ai is based in London. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Infrastructure Engineer role at solve.ai full-time or part-time?
This is listed as a FullTime position. It is posted as a Infrastructure Engineer role in the Engineering department at solve.ai.
Which team or department does the Infrastructure Engineer at solve.ai belong to?
This Infrastructure Engineer position is part of the Engineering department at solve.ai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Infrastructure Engineer position at solve.ai?
Click the "Apply Now" button on this page. You will be redirected to solve.ai's official application portal hosted on ashby where you can submit your application directly.
When was the Infrastructure Engineer job at solve.ai posted?
This Infrastructure Engineer position at solve.ai was posted on May 19, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Infrastructure Engineer
solve.ai
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