Kubernetes Engineer

Greece·Athensmid

Kubernetes EngineerInfrastructure & Cloud

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Quick Summary

Key Responsibilities

Build, operate, and maintain Kubernetes environments across cloud and on-premises infrastructure. Deploy and manage applications and platform services using Kubernetes, Helm, and GitOps.

Requirements Summary

2–4 years of professional experience in Kubernetes, DevOps, Cloud, SRE, or Infrastructure Engineering. Strong hands-on experience with Kubernetes, including deploying, configuring, operating,

Technical Tools

Kubernetes EngineerInfrastructure & Cloud

Build, operate, and maintain Kubernetes environments across cloud and on-premises infrastructure.
Deploy and manage applications and platform services using Kubernetes, Helm, and GitOps.
Support Azure Kubernetes Service (AKS) environments and their surrounding Azure infrastructure.
Help operate on-premises Kubernetes clusters, including networking, storage, ingress, certificates, upgrades, and cluster maintenance.
Monitor Kubernetes environments and proactively identify performance, reliability, capacity, and availability issues.
Troubleshoot problems across the container, Kubernetes, Linux, network, and infrastructure layers.
Build and improve CI/CD pipelines for containerized applications and infrastructure.
Automate repetitive operational tasks using Terraform, Bash, Python, PowerShell, or similar tools.
Implement and maintain Kubernetes RBAC, secrets, network policies, security controls, and workload configuration.
Work with Software, Data, and AI Engineers to containerize and deploy their workloads reliably.
Participate in production support and incident resolution, including root-cause analysis and follow-up improvements.
Contribute to internal documentation, runbooks, infrastructure modules, Helm charts, and reusable platform components.
Work closely with Senior Cloud/Kubernetes Engineers and gradually take ownership of larger infrastructure components and initiatives.

Requirements

~1 min read

2–4 years of professional experience in Kubernetes, DevOps, Cloud, SRE, or Infrastructure Engineering.
Strong hands-on experience with Kubernetes, including deploying, configuring, operating, upgrading, and troubleshooting clusters and workloads.
Solid understanding of Kubernetes concepts including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, RBAC, storage, and networking.
Strong experience with Docker and containerized applications, including building, debugging, and optimizing container images.
Comfortable working with Linux systems, including troubleshooting processes, networking, storage, permissions, and system resources.
Good understanding of networking fundamentals, including DNS, TCP/IP, TLS, load balancing, firewalls, and reverse proxies.
Experience with Helm and managing application deployments across multiple environments.
Experience with CI/CD and GitOps workflows using tools such as Azure DevOps, GitHub Actions, Argo CD, or Flux.
Familiarity with Infrastructure-as-Code, preferably Terraform.
Experience with monitoring and observability tools such as Prometheus, Grafana, Azure Monitor, or OpenTelemetry.
Experience troubleshooting production issues using logs, metrics, Kubernetes events, and system-level diagnostics.
Some hands-on experience with Microsoft Azure, particularly AKS, Azure Container Registry, networking, storage, and identity.
Strong problem-solving skills and the ability to independently investigate and resolve infrastructure issues.
Fluent in English with good communication and documentation skills.

Nice to Have

~1 min read

Experience operating on-premises or bare-metal Kubernetes clusters.
Experience with RKE2, Rancher, OpenShift, Talos, or similar Kubernetes platforms.
Experience with Argo CD, Flux, Helm, or Kustomize.
Experience with Kubernetes networking technologies such as Cilium, Calico, NGINX Ingress, Traefik, or similar.
Experience with Kubernetes storage and CSI drivers.
Experience with HashiCorp Vault, Azure Key Vault, cert-manager, or other secrets/certificate management solutions.
Experience with GPU-enabled Kubernetes workloads, NVIDIA GPU Operator, or AI/ML infrastructure.
Exposure to data and AI workloads, such as model serving, distributed processing, or data platforms running on Kubernetes.
Familiarity with Kubernetes security and policy tooling such as Kyverno, OPA/Gatekeeper, or Trivy.
Kubernetes or cloud certifications such as CKA, CKAD, KCNA, or Microsoft Azure certifications.

What We Offer

~1 min read

✓Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).

✓Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.

✓Private insurance, top-tier tech gear, and the chance to work with a stellar crew.