# Kubernetes Engineer

**Company:** [Satori Analytics](null/companies/oP7xVQywvA86PcDQfxsmB2.md)
**Location:** Athens, Greece
**Workplace:** hybrid
**Department:** Software Engineering

[Apply for this job](null/view/b6e12de5-38c8-4014-968a-ecf161b1d103)

## Description

**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.