Senior Platform Engineer – Zendesk Deploy Team

Zendesk is a company that builds software to improve customer service experiences, powering billions of conversations with well-known brands. The role is part of the Zendesk Deploy team focused on deployment tools and infrastructure to support over 1,000 engineers.

• Strong experience in DevOps, Site Reliability Engineering (SRE), or Platform Engineering.
• Good knowledge of container technologies, especially Kubernetes and Docker.
• Strong coding and scripting skills in languages like Go or Bash.
• Experience with infrastructure automation tools such as Terraform or CloudFormation.
• Hands-on experience building and operating production systems at scale.
• Familiarity with monitoring tools like Prometheus, Grafana, or Datadog.
• Understanding of Kubernetes deployments.

Nice to have:

• Knowledge of CI/CD tools such as ArgoCD or Spinnaker.
• Experience with configuration languages like Jsonnet.
• Understanding of GitOps principles.
• Experience working closely with developer teams or platform teams.
• Exposure to multiple cloud environments or hybrid cloud setups.
• Frontend web development experience.

• Build and maintain deployment infrastructure and internal tools supporting continuous integration and delivery pipelines.
• Work closely with engineering teams globally to define deployment practices and roll out new deployment patterns.
• Develop and manage Kubernetes-based deployment automation and platforms.
• Ensure reliability by monitoring systems, responding to incidents, and maintaining runbooks and documentation.
• Drive improvements in deployment speed, security, and scalability through automation and infrastructure as code.
• Leverage AI-based tools and platforms to improve operational efficiency and deployment safety.

This role requires hybrid work with attendance at the local office in Krakow, Poland for part of the week. Zendesk is an equal opportunity employer and complies with applicable laws regarding diversity, equity, inclusion, and accommodations for disabilities. Artificial intelligence or automated decision systems may be used to screen or evaluate applications in accordance with company guidelines and applicable law.