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.