Nasze wymagania
- Strong working knowledge of Kubernetes in production: deployments, services, ingress, RBAC, autoscaling, IRSA / pod identity, troubleshooting pod and node issues. Commercial experience running or supporting live clusters is required.
- Solid grasp of core DevOps practices: container orchestration, networking (DNS, load balancing, VPC and subnet design), CI/CD pipeline design and maintenance, Git workflows, scripting (Bash or Python) and Linux administration
- Practical experience with Docker and at least one major cloud provider (AWS, GCP or Azure), including provisioning and managing infrastructure via Infrastructure-as-Code (Terraform, CloudFormation or similar)
- Experience with monitoring and observability tooling (Prometheus, Grafana, CloudWatch or equivalent) and the ability to debug incidents under moderate ambiguity
- A pragmatic, ownership-driven attitude: comfortable proposing solutions, not just executing tickets
- English at B2/C1 level or higher (daily work with international teams and clients)
- Availability to work in a hybrid model from the Kraków office (3 days/week)
Mile widziane
- Experience with GitOps tooling (ArgoCD) and Helm chart authoring
- Exposure to data platform tooling (Prefect, dbt, dlt) or supporting data engineering teams
- Experience with more than one cloud provider
- Curiosity to evaluate new tools and patterns, and willingness to mentor junior team members
Twój zakres obowiązków
Join a team building a modern data platform for leading European enterprises. As a Cloud DevOps Engineer you will keep the platform running, automate its infrastructure and support analytics, BI and AI workloads used daily by hundreds of users, developers, data engineers and data scientists. You will work in an agile, international environment, side by side with senior DevOps and data engineers.
Daily tasks include:
- Developing and maintaining Kubernetes deployments and internal clusters, with guidance from senior engineers
- Implementing GitOps workflows and CI/CD automation for infrastructure and application deployments
- Contributing to Infrastructure-as-Code, DevOps and DataOps efforts across projects
- Setting up and maintaining observability (Grafana, Prometheus, Alertmanager): monitoring system health and investigating incidents
- Working with infrastructure and engineering teams, both internally and on the client side
- Documenting and automating processes related to your work
Tech stack you will work with:
- Kubernetes (EKS, AKS, kube-hetzner), Helm, Docker / docker-compose
- CI/CD (GitHub Actions, GitLab CI) and GitOps (ArgoCD)
- AWS, GCP and/or Azure
- Terraform, Python, Linux, bash, git
- Observability: Prometheus, Grafana, Alertmanager
- Data engineering tools: Prefect, dbt, dlt