Lead Cloud & DevOps Engineer

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 Senior/Lead Cloud & DevOps Engineer who is equally comfortable building infrastructure in the cloud, operating Kubernetes platforms on-premises, and leading a team of Cloud Engineers. You’ll own the technical direction and day-to-day execution of the Cloud Engineering function while remaining hands-on with the platforms that power our data, AI, and software solutions.

What Your Day Might Look Like

Lead the team: Manage, mentor, and grow a team of Cloud Engineers, owning their technical roadmap, priorities, engineering standards, and delivery commitments.

Plan ahead: Partner with engineering and business leadership on capacity planning, infrastructure priorities, and future team and technology needs.

Build the platform: Architect and operate cloud and on-premises infrastructure — Azure environments (networking, identity, compute, storage, security) and Kubernetes platforms on both AKS and on-prem — for production apps, data platforms, and AI workloads.

Automate everything: Drive Infrastructure-as-Code and GitOps, design CI/CD pipelines, and build reusable, self-service platform capabilities.

Keep it reliable: Own observability, capacity planning, backup/recovery, HA and DR, and lead the response to complex production incidents across the app, Kubernetes, OS, network, and cloud layers.

Secure it: Implement security best practices — secrets management, access controls, network segmentation, vulnerability management, and hardening.

Support AI at scale: Work with Software, Data, and AI Engineers to design infrastructure for data-intensive and GPU/AI workloads, championing Cloud, DevOps, Kubernetes, and SRE best practices across engineering.

Requirements

Your Superpowers

7+ years in Cloud Engineering, DevOps, SRE, Platform, or Infrastructure Engineering, including leading, mentoring, and developing technical teams while maintaining a high engineering bar.

Deep hands-on experience with Microsoft Azure (networking, compute, storage, identity, security, managed services).

Strong Kubernetes expertise — designing, deploying, upgrading, securing, and troubleshooting production clusters, including in on-premises or hybrid environments where you own more than the application layer.

Strong Infrastructure-as-Code with Terraform (Bicep/ARM a plus) and solid Docker / containerized workloads experience (registries, image management, security).

Experience designing and maintaining CI/CD and GitOps workflows (Azure DevOps, GitHub Actions, Argo CD, Flux) and building observability with tools like Prometheus, Grafana, OpenTelemetry, and Azure Monitor.

Deep understanding of Linux, networking, DNS, TLS, load balancing, firewalls, storage, and identity, plus cloud/infra security (RBAC, secrets management, certificates, workload identity).

Strong scripting and automation (Python, Bash, PowerShell, or similar) and a track record designing highly available, resilient, secure, scalable infrastructure.

Able to balance technical leadership, people management, and hands-on engineering, with fluent English and strong technical communication and documentation.

Bonus Points for

Previous Cloud/DevOps/SRE/Platform Team Lead or Engineering Manager experience, or building and scaling a Cloud/Platform Engineering function.

Designing and operating bare-metal or private-cloud Kubernetes clusters, and distributions such as RKE2, OpenShift, Rancher, or Talos.

GPU infrastructure and Kubernetes GPU workloads (NVIDIA GPU Operator, drivers, scheduling), and supporting AI/ML and data platforms (high-performance storage, distributed workloads, model serving).

Azure AI and data services (Azure OpenAI, Azure AI Foundry, Databricks, Event Hubs), service meshes, ingress controllers, API gateways, and advanced Kubernetes networking (Helm, Kustomize, operators).

Enterprise networking (VPNs, ExpressRoute, hybrid connectivity, private endpoints) and security/policy tooling (HashiCorp Vault, Azure Key Vault, OPA/Gatekeeper, Kyverno, Defender for Cloud).

Experience with regulated or security-sensitive environments, and relevant certifications (CKA/CKS, Azure Solutions Architect, Azure DevOps Engineer, Terraform Associate, etc.).

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.