Senior Azure Platform Engineer (AI & Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Azure Platform Engineer (Azure/AI & Data): Building and evolving an enterprise-scale Azure platform from the ground up with an accent on greenfield landing zones, hybrid integrations, and Microsoft Fabric. Focus on implementing Infrastructure as Code, ensuring scalability, and integrating on-premise legacy estates with cloud services.
Location: Remote, but occasional travel to Stoke-on-Trent, United Kingdom is required for face-to-face workshops.
Company
is a technology consultancy focused on fast-tracking digital delivery and bridging the global skills divide through a decentralized network of regional Clubs.
What you will do
- Design and implement greenfield enterprise-grade Azure landing zones aligned with the Cloud Adoption Framework (CAF).
- Build secure, scalable, and resilient cloud infrastructure using IaC tools such as Terraform and Bicep.
- Execute end-to-end integration of Azure landing zones with existing on-premise legacy estates and hybrid networking environments.
- Support the implementation and adoption of Microsoft Fabric and its associated Azure data services.
- Collaborate with the Solution Director and Lead Architects to refine and execute the platform roadmap.
- Mentor mid-level engineers and champion engineering best practices through technical peer reviews.
Requirements
- Deep expertise as an Azure Platform Expert with extensive hands-on experience in enterprise-scale solutions.
- Proven track record of delivering greenfield Azure Landing Zones from initial architecture to production.
- Strong experience with hybrid networking, including ExpressRoute, VPN Gateways, and hybrid identity.
- Hands-on experience integrating and supporting Microsoft Fabric and the Azure data ecosystem.
- Proficiency in Infrastructure as Code (IaC) and modern CI/CD deployment pipelines.
- Availability for occasional travel to Stoke-on-Trent, UK.
Culture & Benefits
- Opportunity to work on a high-profile AI & Data programme.
- Collaborative environment within a decentralized network of regional 'Clubs'.
- Commitment to equal opportunities and inclusive hiring practices.
- Consideration for various flexible working arrangements.
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