Senior Platform Engineer (Azure Platform & DevOps)
Atos Bydgoszcz, Kuyavian-Pomeranian Voivodeship, Poland
Business Consulting and Services · 10,001+ employees
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About the role
The Senior Platform Engineer will lead the design, automation, and operational excellence of a business-critical Azure-based data platform. They are responsible for implementing CI/CD pipelines, Infrastructure as Code, and establishing robust monitoring and disaster recovery frameworks.
What they look for
Requirements
Candidates must have extensive experience with Microsoft Azure, CI/CD, and Infrastructure as Code tools like Terraform or Bicep. A strong background in cloud platform reliability, security governance, and enterprise-scale operational environments is required.
Full description
Senior Platform Engineer (Azure Platform & DevOps)
Overview
We are seeking a Senior Platform Engineer to lead the design, automation, reliability, and operational excellence of a business-critical Azure-based data and reporting platform. This role will be responsible for establishing a robust and highly available platform foundation, ensuring seamless collaboration between data engineering and infrastructure teams.
The ideal candidate combines strong Azure platform expertise with deep knowledge of CI/CD, Infrastructure as Code, observability, and enterprise operations. They will play a key role in building a scalable, secure, and resilient platform capable of supporting mission-critical reporting and external-facing data products.
Key Responsibilities
- Own and drive CI/CD implementation, release management, and deployment automation.
- Act as the technical liaison between engineering and infrastructure teams.
- Design, implement, and maintain Infrastructure as Code (IaC) solutions.
- Establish and manage monitoring, logging, alerting, and observability frameworks.
- Define and implement backup, restore, disaster recovery, and business continuity strategies.
- Ensure platform reliability, resilience, performance, and maintainability.
- Implement and promote operational best practices, governance standards, and security controls.
- Support platform scalability and availability requirements in SLA-driven environments.
- Identify opportunities for automation and continuous operational improvement.
- Contribute to architecture discussions and platform engineering decisions.
Required Experience & Skills
- Strong experience with Microsoft Azure platform services and cloud infrastructure.
- Extensive hands-on experience with Azure DevOps, Git, CI/CD pipelines, and Infrastructure as Code.
- Experience with Terraform, Bicep, ARM templates, or similar automation technologies.
- Strong understanding of monitoring, logging, observability, and operational excellence practices.
- Proven experience designing and supporting highly available and resilient cloud platforms.
- Experience with disaster recovery, backup and restore processes, and business continuity planning.
- Knowledge of security, governance, compliance, and platform engineering best practices.
- Familiarity with enterprise-scale operational environments and SLA-driven service delivery.
- Strong communication and stakeholder management skills.
- Ability to collaborate effectively across engineering, infrastructure, and operations functions.
Preferred Qualifications
- Experience supporting Azure Databricks environments.
- Knowledge of Power BI, Microsoft Fabric, Azure Data Factory, and modern data platforms.
- Experience with cloud security frameworks and governance models.
- Azure certifications in administration, architecture, or DevOps.
- Experience working within large-scale enterprise data and analytics programs.
What Success Looks Like
In the early phase of the project, the successful candidate will focus on:
- Establishing a robust Azure platform foundation.
- Implementing automated CI/CD and Infrastructure as Code practices.
- Defining monitoring, logging, alerting, and operational processes.
- Designing platform resilience, backup, and disaster recovery capabilities.
- Supporting the delivery of a highly available platform targeting 99.5% uptime or higher.
- Creating strong collaboration models between engineering and infrastructure teams.
- Ensuring the platform is secure, scalable, maintainable, and ready to support business-critical workloads.
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