Senior Platform Engineer: AI-Driven Infra on GCP/Kubernetes

Swissblock Technologies AG

Zug

Hybride

CHF 140 000 - 210 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Remote-friendly culture
Onsite in Zug (Switzerland)
Annual bonus
Pension plan
Insurance coverage
Company events

Résumé du poste

Swissblock Technologies AG seeks a Senior Platform Engineer to build, run and optimize our algorithmic trading platform on Google Cloud Platform with Kubernetes. You will partner with quant engineers and data scientists to design scalable architectures, enforce SRE/DevOps practices, and advance AI-powered automation to ensure high availability and reliability.

Responsibilities include migration, capacity planning, security audits, and cost optimization while driving continuous delivery and

Qualifications

  • 5+ years operating production infrastructure
  • Experience in GCP and Kubernetes at admin level
  • Observability tools administration (Prometheus, Grafana, Loki)
  • Infrastructure as code in CI/CD DevOps (Terraform, GCP Config Connector, Argo)
  • Unix/Linux, shell scripting, networking
  • Infrastructure security and secret management
  • Interest in AI and automation
  • Fluent English communication

Responsabilités

  • Analyze architecture and design of the system
  • Maintain and enhance existing infrastructure
  • Conduct architecture reviews, support vulnerability and incident response
  • Drive infrastructure changes from concept to production
  • Perform workload and complexity assessments
  • Run security audits
  • Influence technical direction of new services
  • Define and uphold SRE/DevOps practices
  • Evaluate and implement AI-assisted tooling

Connaissances

GCP
Kubernetes
Prometheus
Grafana
Loki
Terraform
CI/CD
Unix/Linux
Shell scripting
Security

Outils

GCP Config Connector
Argo

Description du poste

Swissblock Technologies AG seeks a Senior Platform Engineer to build, run and optimize our algorithmic trading platform on Google Cloud Platform with Kubernetes. You will partner with quant engineers and data scientists to design scalable architectures, enforce SRE/DevOps practices, and advance AI-powered automation to ensure high availability and reliability.

Responsibilities include migration, capacity planning, security audits, and cost optimization while driving continuous delivery and

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