Senior Platform Engineer

United States Digital Space LLC; Greater London; On-site; GBP 100,000 - 125,000; Full time

Benefits offered by this job

Equity

Job summary

V7 is hiring a Platform Engineer in the UK to own infrastructure as code and maintain reliable, auditable AI platforms for enterprise teams. You will manage cloud workloads across AWS, GCP, and Azure, ensuring cost efficiency and strong security posture.

You’ll collaborate with the commercial team, support customers, and participate in on-call rotations while shaping how AI workflows are executed in production.

Qualifications

• Strong AWS in production, ideally multi-region.
• Hands-on with GCP, with Azure a bonus.
• Terraform, observability and CI/CD proficiency.
• Python scripting; Elixir a bonus; keen to learn.

Responsibilities

• Own infrastructure as code in Terraform, plus alerting and observability.
• Improve CI/CD efficiency with GitHub Actions and ArgoCD.
• Manage platform for AI workloads across Bedrock, Vertex AI and Azure.
• Engage with enterprise customers and the commercial team to troubleshoot infrastructure and security questions.

Skills

AWS production

Multi-region

GCP

Azure

Terraform

Observability

CI/CD

Python

Tools

Prometheus

Grafana

GitHub Actions

ArgoCD

Bedrock

Vertex AI

Azure

Job description

V7At V7, we're building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We're growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The productV7 Go is a platform for building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude and Gemini. Have a look at what we're building for finance and insurance.

Most AI agents still behave like black boxes. They wander off-task, miss the context that matters, and make calls you can't check. Go Agents are different: predictable, transparent, and auditable at every step.

• Build custom AI workflows with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there.

• The Context Graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory.

The team you'll be joining and impact you'll have

• A small Platform team with a very wide remit: cloud, SRE, DevOps, developer experience, compliance, and the infrastructure behind our AI products.
• We run AWS first across multiple regions, with GCP and Azure alongside. Our model providers come through all three, so this is genuinely multi-cloud work.
• We're in the process of making everything faster, more reliable and nicer to work with, for enterprise customers who expect a lot. There are a number of compliance and big expansion projects on the horizon
• Our engineers lean heavily on AI coding agents and sandboxes. You'll shape how that works across the company, giving people freedom while keeping us in control.

What you'll be doing from day one

• Owning our infrastructure as code in Terraform, plus alerting, observability (Prometheus, Grafana) and reliability, including load testing and disaster recovery exercises.
• Making CI/CD faster (GitHub Actions, ArgoCD) and taking obstacles out of engineers’ way, from build times to how they run AI agents day to day.
• Running the platform behind our AI workloads across Bedrock, Vertex AI and Azure, with a close eye on reliability and cost.
• Getting on calls with enterprise customers and our commercial team to troubleshoot and answer infrastructure and security questions. Alongside that, compliance work and a spot on the on-call rotation.

Who you are

• Strong AWS in production, ideally multi-region. Hands-on with GCP, with Azure a bonus. You understand how model consumption works through each cloud.
• Deep experience with Terraform, observability and CI/CD, and you write solid Python (Elixir is a bonus, or you're keen to learn).
• A clear communicator who’s happy explaining technical things to a customer, not just to other engineers.
• Independent and comfortable with ambiguity. You find problems without being handed tickets, and you don't mind when priorities flip from one week to the next.

V7 champions equality and inclusion because diverse teams build better products.

Compensation: £100K - £125K Offers Equity