Senior Platform Engineer

Job summary

Cap*** is building an AI Operating System for private capital funds, aiming to revolutionize how they find, research, analyze, monitor, and manage investments. The company has experienced significant growth, achieving product-market fit and expanding across the US, UK, and Europe. They are now scaling their team after a large Series A funding round.

Benefits

Qualifications

• Four or more years running production infrastructure at a venture-backed startup or top tech firm
• Experience owning systems end-to-end
• In-depth experience with Kubernetes in production, including designing, operating, and debugging clusters under load
• Proficiency with GitOps using ArgoCD, Helm, and Terraform
• Security-minded design with IAM, secrets, and network boundaries
• Curiosity about underlying system mechanics
• Experience with self-hosting or homelab environments
• Passion for platform engineering
• Ability to thrive in fast-moving environments
• Experience with GPU and LLM workloads on Kubernetes (strong plus)
• Experience with Istio or other service mesh
• Multi-cloud experience (Azure first, with AWS and GCP)
• Familiarity with LGTM observability stack
• Experience with compliance work (SOC 2, ISO 27001)

Responsibilities

• Own the infrastructure for an AI platform serving leading PE firms
• Manage Kubernetes estate, multi-cloud footprint (Azure primary, AWS, GCP), Istio service mesh, Terraform infrastructure, and LGTM observability stack
• Ensure security by default across all infrastructure layers
• Shape engineer workflows, CI/CD pipelines, and guardrails for confident deployments
• Own platform end-to-end, including architecture, implementation, and operation
• Operate and scale Kubernetes clusters, including GitOps deployments with ArgoCD and Helm, networking with Istio, and demanding stateful/compute workloads
• Implement AI infrastructure, including self-hosted model serving and GPU workloads on Kubernetes
• Manage multi-cloud Terraform estate for repeatability, auditability, and least privilege
• Utilize LGTM stack (Loki, Grafana, Tempo, Mimir) for platform observability
• Implement security and compliance measures: identity and access, secrets management, network policy, hardening, and enterprise compliance
• Take responsibility for built systems and their impact on customers and team
• Manage on-call duties and incidents
• Build guardrails to ensure the easy path is the safe path

Skills

Relocation