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.
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.
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.