Infrastructure engineer (UK)

Writer · London, UKmid

En corto

▸Ingeniero de infraestructura en una empresa de IA empresarial líder, enfocado en confiabilidad y escalabilidad.
▸Día a día: automatización, resolución de incidentes, diseño de arquitecturas en AWS/GCP/Azure y uso de agentes de IA en el flujo de trabajo.
▸Lo destacado: se espera usar agentes de IA (como Claude Code) para escribir código, gestionar incidentes y automatizar tareas, integrando humanos y agentes digi

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¿Qué piden?

✓Experiencia en infraestructura en la nube (AWS preferido)
✓Conocimiento profundo de Kubernetes, Helm y Terraform
✓Capacidad para liderar análisis de incidentes y post-mortems
✓Habilidades de automatización con Python o Go
✓Fluidez en múltiples capas del stack (SRE, DevOps, plataforma)
✓Enfoque en simplicidad y eliminación de toil

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AWSGCPAzureKubernetesHelmTerraformPythonGoClaude CodeDroid

¿A quién escribirle en Writer?

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🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City or London hubs. You'll report to our director of engineering. What you'll do Technical Breadth across disciplines. Bring deep focus to one problem at a time, with the breadth to move between SRE, DevOps, Infrastructure, and Platform work over a quarter or two as the leverage shifts. This is not a thrash-every-week role — most of the time you're heads-down on one substantial initiative (the on-call posture, the release pipeline, the multi-region Terraform layout, the internal platform surface). Cross-layer fluency is what lets you pick the right next initiative; it isn't a weekly context-switch. Simplicity / via negativa. Challenge the status quo and remove toil before adding features — automate operational tasks and infrastructure management with Python or Go, reject tools that don't fit the problem, and treat manual on-call work as a defect to be designed out, not a status quo to be staffed up. Breadth across the stack. Design scalable, fault-tolerant infrastructure across AWS (preferred), GCP, and Azure, working fluently across Kubernetes, Helm, Terraform, and the supporting cloud and AI tooling that backs WRITER's high-traffic platform. AI in workflow. Run agents in your daily loop — Claude Code, Droid, Codex, internal skills — to investigate incidents, draft Terraform / Helm changes, write runbooks, scaffold tooling, and review PRs. Build the agentic setup as a collective surface: humans and digital teammates working as one team, with shared skills, shared context, and shared on-call workflows. Encode recurring infra tasks as internal skills any teammate (human or agent) can pick up and run, so the team's throughput compounds — not just your own. Debugging fluency. Lead incident response, post-mortems, and root-cause analyses — trace failures to the underlying problem (never the symptom), apply the learning back into the architecture, and prevent the same incident from happening twice. Non-technical End-to-end ownership.

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