Lead Azure Cloud Engineer

cardiff (grangetown), cardiff, United Kingdom

Company: JR UK

Client / Employer: Ascendion

Posted: 23.05.2026

Job reference: 825510880929120256037342

Job information

Location

Client / Employer

Ascendion

Job reference

825510880929120256037342

Listing type

Basic

EU work permit required

No

Posted

23.05.2026

07.07.2026

Job Title: Senior Engineering Lead – Azure Cloud Data Platform

Work Location: Cardiff, UK (Hybrid – once a week working from office)

Job Description:

Key Responsibilities

• Provide strategic guidance and technical leadership to the Nucleus product team, ensuring alignment with business objectives and cloud best practices.
• Support, develop and evolve a consumer-grade practitioner-facing self-service portal product, ensuring exceptional user experience and seamless functionality.
• Design and implement cloud-native solutions, with a focus on serverless architectures, microservices, and scalable infrastructure.
• Offer hands‑on support in cloud architecture while maintaining a focus on strategy and advisory in other areas.
• Leverage expertise in Azure cloud platform, Azure DevOps, and DevOps principles to drive innovation and operational excellence.

Required Skills and Experience

• Established experience in cloud architecture, DevOps, and analytics platforms.
• Proficiency in the Azure cloud platform, Azure DevOps, and serverless cloud architecture.
• Strong hands‑on experience with Azure‑native serverless components including Azure Functions, Logic Apps, and Event Grid.
• Experience with Azure messaging and integration services, particularly Azure Service Bus, Event Hubs, and API Management.
• Familiarity with Azure SQL, Cosmos DB, and other Azure database technologies.
• Strong understanding of DevOps principles, infrastructure‑as‑code patterns (Terraform, Bicep, ARM templates), and networking concepts.
• Exceptional communication and stakeholder management skills, with the ability to challenge and influence senior stakeholders.
• Experience designing and implementing data pipelines, ETL/ELT processes, and real‑time streaming solutions.
• Experience integrating AI into products and/or platforms is advantageous.

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