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Unique

AI-powered workflow automation for finance

Senior Cloud Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

  • At least 5 years of experience in infrastructure, platform engineering, or site reliability engineering.
  • Hands-on experience operating production Kubernetes clusters and platform services using Helm and GitOps tools such as Argo CD, including networking, ingress, certificates, secrets, and policies.
  • Strong experience using Terraform at scale, including reusable modules, state management, and pull-request workflows such as Atlantis, as well as configuration management with Ansible.
  • Deep expertise in at least one major cloud platform, ideally Azure, combined with strong knowledge of Linux, DNS, private networking, VPNs, identity, least-privilege access, secrets, and encryption.
  • Experience with monitoring and alerting using Prometheus and Grafana, CI/CD pipelines such as GitHub Actions, and handling incidents in production.
  • Strong communication skills to collaborate with technical and business stakeholders and end-to-end ownership from design to production.
  • Must be based in Switzerland and hold a valid Swiss work permit.
  • Fluency in English.
  • A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.

Responsibilities

  • Build and run the infrastructure across Azure, GCP, AWS, and company GPU servers in Zurich, from cloud landing zones to dedicated client environments.
  • Operate Kubernetes clusters and platform services, including AI gateway, vector and relational databases, message queues, identity, and registries, through GitOps.
  • Develop and maintain Terraform modules, including open-source modules on GitHub.
  • Maintain platform security through network and egress policies, least-privilege access, secrets management, and vulnerability management.
  • Improve CI/CD and release automation with developers, including pipelines, self-hosted runners, dependency updates, and automated deployments.
  • Own monitoring, alerting, and cloud costs; participate in the on-call rotation and conduct post-mortems after incidents.
  • Support solution engineers and clients’ IT and security teams during onboarding, security reviews, and audits.
  • Automate repetitive operations work, mentor colleagues, and maintain runbooks and documentation.

Desired Qualifications

  • German language proficiency.
  • Experience with Cilium, Kyverno, Crossplane, or Tailscale.
  • Experience with Kubernetes GPU workloads.
  • Experience with infrastructure for LLM applications, such as AI gateways and vector databases.
  • CKA or CKAD certification.
  • Experience in banking or another regulated industry.
  • Experience using AI coding agents in daily work.

About the Company

Unique

AI-powered workflow automation for finance

Unique FinanceGPT builds an enterprise AI platform for the financial industry that automates repetitive tasks and improves productivity by connecting internal data with AI-assisted workflows. Its One.Chat interface gives secure, fast access to vast internal data, enabling generation of personalized recommendations and client proposals from client insights and internal knowledge. Unlike generic AI tools, it targets finance with compliance-aware automation and end-to-end ideation-to-delivery support. Its goal is to streamline financial workflows, reduce administrative work, and boost client-facing productivity while maintaining regulatory compliance.

Company size
51-200
Company stage
Series A
Total funding
$52.5M
Headquarters
Zurich, Switzerland
Founded
2021

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