Platform Engineer
Catalogic Polska
⚲ Warszawa
12 000 - 15 000 PLN brutto (ANY)
Wymagania
- Kubernetes
- Jenkins
- Python
- AWS
- Azure
- Google Kubernetes Engine
Opis stanowiska
We are looking for a Platform Engineer to own and improve the build, deployment, observability, security, and operational tooling around our cloud-native data protection and disaster recovery solution for Kubernetes. The role will include maintaining existing platform services, improving automation, supporting CI/CD pipelines, assisting with Kubernetes-based deployments, and helping ensure that staging and production environments remain observable, secure, and operationally ready. The ideal candidate is comfortable working in a Kubernetes-based environment, understands how modern CI/CD pipelines support software delivery, can automate operational tasks with scripting, and has practical experience with at least one major cloud provider. Qualifications: The candidate should have hands-on experience with: • Kubernetes operations, including basic workload management, pod lifecycle, troubleshooting, and logs • CI/CD systems and pipelines, preferably Jenkins • Scripting, preferably in Python • Cloud platforms such as AWS, Azure, or Google Kubernetes Engine Additional experience in any of the following areas would be beneficial: • Concourse CI • Automated test execution through CI/CD pipelines • Prometheus and Grafana monitoring, alerting, and dashboard maintenance • Security scanning in build pipelines, including static analysis and container image scanning • Helm chart development and Kubernetes packaging • Marketplace integrations such as OpenShift Operator, Rancher Marketplace, CNAB, or similar • Terraform provider development or maintenance • Cloud operations dashboards, usage reporting, and operational metrics • Managing access keys, certificates, rotation schedules, and related security controls • Handling operational processes such as user data deletion requests • Python runtime upgrades and dependency management • MongoDB operations, preferably with Percona Operator and encryption • Kubernetes self-hosted deployment models • Log collection and analysis platforms • Working with staging and production environments • Creating technical reports based on customer usage and storage consumption data