Platform engineer in AI

This company builds the AI workspace that the world's largest banks and asset managers actually run inside their own environments. That means every deployment lands in a place where security review, audit trails, and uptime are non-negotiable. They're one of the fastest-growing enterprise AI platforms, backed by leading investors, with significant funding to scale. You'll lead the platform underneath it all: architecting and operating their Azure footprint across AKS, Terraform-managed cloud resources, Dockerised services, and the CI/CD pipelines.

• Architecting and operating a complex Azure footprint, including AKS, Terraform, and Dockerised services.
• Designing and implementing CI/CD pipelines (GitHub Actions equivalent) that ship backend, frontend, and data, with a focus on developer experience.
• Setting technical direction and guardrails for infrastructure, including Terraform modules, pipeline patterns, and observability practices.
• Owning end-to-end observability (logging, metrics, tracing, alerting, on-call) and driving incident response.
• Preparing the entire cloud estate for rigorous SOC 2 and ISO 27001 audits, and managing cloud cost at scale.

• 7+ years in platform, infrastructure, or DevOps, including a period where you set technical direction.
• Experience designing Terraform modules and CI/CD pipelines that other engineers build on.
• End-to-end ownership of observability, including incident practice.
• Comfort with cloud networking (VPCs, private networking, DNS, load balancers, VPNs, firewalls) and provisioning production databases.
• Strong Python or Bash for automation.

• Условий в вакансии нет