Senior Platform Engineer

V7Labs.com · Londonsenior

In short

▸Ingeniero de plataforma sénior que construye e impulsa infraestructura escalable en múltiples nubes para agentes de IA.
▸Día a día: gestión de IaC con Terraform, CI/CD, observabilidad (Prometheus/Grafana), soporte técnico a clientes enterprise y gestión de compliance.
▸Destacado: Trabajas en un entorno donde el uso de IA para desarrollo está integrado y escalado, con libertad y control.

Conversational English required for customer and team collaboration

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What they ask for

✓Experiencia demostrable con AWS en producción, idealmente multi-región
✓Manejo avanzado de Terraform para infraestructura como código
✓Conocimiento profundo de CI/CD con GitHub Actions y ArgoCD
✓Habilidades sólidas en observabilidad (Prometheus, Grafana)
✓Experiencia práctica con modelos de IA en Bedrock, Vertex AI o Azure
✓Capacidad para comunicar técnicas a clientes y equipos no técnicos

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AWSGCPAzureTerraformPrometheusGrafanaGitHub ActionsArgoCDPythonElixir

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V7 At 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 product V7 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. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.

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