Live opening · Posted 29 days ago

Senior Platform Engineer (Azure / DevOps), EU based

Whirr Crew s.r.o. · Prague, Prague, Czechia (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 29 days ago
CompanyWhirr Crew s.r.o.
LocationPrague, Prague, Czechia (Remote)
Work modeNo
SourceLinkedin
ListedPosted 29 days ago

About the role

Description supplied by the original job listing.

We are looking for an experienced Senior Platform Engineer (Azure / DevOps) to design, build, automate, and operate modern cloud-based data platforms. The role combines hands-on Azure platform engineering, Infrastructure as Code, Kubernetes, CI/CD, security, and platform operations, with a strong focus on scalable and reliable data platform environments.
Start Date: ASAP
Location: Remote, EU based
Language: English
Contract Type: B2B
Duration: Until the end of 2026, with possible prolongation
Responsibilities
Implement and configure cloud platform capabilities for new business use cases.
Build and operate modern data platform services primarily in Microsoft Azure.
Ensure platform solutions follow established architecture, security, and operational standards.
Collaborate with product and engineering teams to understand technical requirements and platform dependencies.
Develop and maintain Infrastructure as Code (IaC) using Terraform and/or Bicep.
Automate platform provisioning, configuration, deployment, and operational processes.
Build and improve self-service platform capabilities for internal consumers.
Manage and operate cloud-native data services, ensuring availability, reliability, scalability, and performance.
Administer Kubernetes clusters and containerized workloads.
Implement and maintain CI/CD pipelines using Azure DevOps.
Implement monitoring, logging, alerting, and observability solutions.
Troubleshoot platform incidents, perform root-cause analysis, and contribute to service improvements.
Support modernization initiatives and migration of legacy workloads to cloud-native technologies.
Evaluate and introduce new platform technologies where appropriate.
Apply enterprise security standards, IAM configurations, and secure-by-default principles.
Ensure platform deployments comply with relevant security and regulatory requirements.
Identify opportunities to optimize platform utilization, operational efficiency, and technical debt.
Requirements
Multiple years of experience as an Azure Platform Engineer, Cloud Engineer, Data Platform Engineer, or in a similar role.
Strong hands-on experience with Microsoft Azure, particularly:
Azure Data Lake Storage Gen2 (ADLS)
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Strong understanding of modern data platform and Lakehouse architectures, data integration patterns, and data modeling concepts.
Hands-on experience implementing cloud-native solutions in Microsoft Azure; experience with GCP is an advantage.
Strong experience with Terraform and/or Bicep.
Strong knowledge of Azure networking and security, including:
Virtual Networks (VNets)
Private Endpoints
Managed Identities
Key Vault
RBAC
Network Security Groups
Strong experience with Kubernetes and containerized workloads.
Hands-on experience with Azure DevOps, CI/CD pipelines, and automation.
Experience implementing monitoring, logging, alerting, and observability solutions.
Proven experience building and operating scalable, highly available, and reliable cloud platforms.
Strong troubleshooting, debugging, and problem-solving skills.
Experience working in Agile and DevOps environments.
Good understanding of the conceptual architecture behind Databricks and modern Lakehouse environments.
Nice to Have
Experience with Microsoft Purview, including data governance, cataloging, metadata management, and data lineage.
Experience with streaming and real-time data technologies such as Azure Event Hubs, Kafka, or Spark Structured Streaming.
Experience with GCP platform services.
Experience with Agentic AI orchestration platforms and AI platform engineering concepts.
Knowledge of Azure AI Services and enterprise AI platform architectures.
Experience with platform engineering and self-service infrastructure concepts.
Relevant Azure certifications, such as:
Azure Solutions Architect Expert
Azure DevOps Engineer Expert
Azure Data Engineer Associate

Work arrangement
No

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