Seniority: Senior with 5+ years of relevant experience

Responsibilities:

• Design and implement cloud-native data and AI solutions using Microsoft Azure services.
• Manage and enhance Azure-based environments to ensure high performance, security, and scalability.
• Collaborate with business stakeholders and technical teams to translate requirements into robust, innovative cloud solutions.
• Integrate AI and data solutions with Azure, Microsoft 365, Dynamics 365, and third-party systems.
• Automate deployment, monitoring, and scaling of cloud workloads using infrastructure-as-code and DevOps best practices.
• Promote operational excellence, security, and compliance in all cloud engineering processes.
• Communicate effectively (both verbal and written) with IT personnel, executives, and user communities.
• Continuously develop your skills and empower your team’s development with the support of the wider PwC network.

Requirements:

• BSc/BA in Computer Science, Engineering, or a related field; relevant certifications (e.g., Azure Solutions Architect, Azure Data Engineer) are highly desirable.
• 5+ years of experience in designing, implementing, and managing cloud-native solutions on Microsoft Azure.
• Demonstrated experience with Azure AI services, data platforms, and automation tools.
• Proficiency in scripting and programming languages (e.g., PowerShell, Python, Bash).
• Experience with infrastructure-as-code (e.g., ARM templates, Bicep, Terraform) and CI/CD pipelines.
• Strong understanding of security, compliance, and operational best practices for cloud and AI workloads.
• Excellent communication skills to effectively explain technical decisions to a broad set of stakeholders.
• Experience working in agile, cross-functional teams and delivering complex projects at scale.

Start date: ASAP

HackerRank Challenge: No

Remote vs Onsite: Fully remote, with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in Prague

US Hours overlap needed: Yes, 9-6 CET

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