Kubernetes Engineer

About this role

Are you passionate about AI? 🤖
At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.
As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!
We’re looking for a Kubernetes Engineer to help build, operate, and continuously improve the container platforms that power our applications, data platforms, and AI workloads.
You’ll work across cloud and on-premises Kubernetes environments, collaborating with senior Cloud/DevOps Engineers and development teams to deliver reliable, secure, and automated infrastructure.
What Your Day Might Look Like:

• 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
Your Superpowers🚀:

• 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.

Bonus Points for:

• 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.
Benefits
Perks on Perks:

• 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.
Ready to create some data magic with us? Hit that apply button and let’s get started.