Cloud & DevOps Lead (Azure)
- Level
- Lead
Not stated in the posting: salary, work type, visa.
Open. First seen 5 October 2026.
About the role
Are you passionate about AI? đ¤
Satori Analytics's standard text
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 lifecycleâfrom ingestion to AI applications.
As a fast-growing scale-up, our team of 100+ tech specialistsâincluding Data Engineers, Data Scientists, and moreâdelivers 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!
Weâre 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. Youâll 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 â Azure environments (networking, identity, compute, storage, security) and Kubernetes platforms on both AKS and on-prem â 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 â 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 Superpowersđ:
- 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 â 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
- Competitive Salary â A rewarding package that reflects your skills and experience.
- Flexible Working â Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
- Health & Wellness Benefits â Private insurance, and the chance to work with a stellar crew.
- Learning & Development â Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) â whether itâs certifications or courses, weâve got you covered.
- Career Growth â Clear opportunities to develop your skills and progress within the company.
- Great Team & Culture â Work with talented, supportive people in a collaborative environment.
- Team Events & Perks â Enjoy social events, celebrations, and exclusive employee benefits.
- Modern Tools & Technology â Everything you need to do your best work.
- A Workplace That Values You â Your ideas, contribution, and well-being genuinely matter
What this role asks for
Particular to this role
Argo CD ¡ Azure DevOps ¡ Bash ¡ GitHub ¡ Grafana ¡ HashiCorp Vault ¡ Helm ¡ OpenShift
Rare in Satori Analytics's other 11 open postings.
Standard for DevOps / SRE / cloud roles
CI/CD ¡ Docker ¡ Kubernetes ¡ Linux ¡ Terraform
Common in DevOps / SRE / cloud postings at any company.
In most of Satori Analytics's ads
AWS ¡ Azure ¡ Databricks ¡ Python ¡ Salesforce
Named in most of its open postings, whatever the role.
89% of this description is written for the role. The rest is Satori Analytics's standard text, folded away below.
Read against Satori Analytics's other open postings on this site.
The team: AI Engineering HIRES STEADILY
This role is one of 5 open in AI Engineering. 1 was posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (5 of 5), Azure (5 of 5), Databricks (5 of 5), Salesforce (5 of 5), LLM (4 of 5), Python (4 of 5), LangChain (3 of 5)
OTHER ROLES ON THIS TEAM
- Junior AI Engineer posted Oct 9
- AI Engineer posted Sep 17
- Senior AI Engineer posted Aug 27
- Engineering Manager posted May 19
From the team and dates on Satori Analytics's own job board.
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