National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Cloud Solution Architect - Azure IaaS (Mission Critical)

Microsoft
united kingdom
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Scientist / AI Engineer

Solutions Architect (AI)

Senior Data Engineer

Senior Data Scientist

Senior Data Engineer

Overview

With over 18,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.

Do you have a passion for Azure IaaS and using best-in-class tools created by Microsoft? Are you looking for a role where you can interact directly with large enterprise customers to improve the stability and performance of the solutions they are deploying in Azure? Do you want to join one of Microsoft''s fastest growing businesses? If so, we are looking for you!

As Mission Critical Cloud Solution Architect (CSA) you interact with the customer on a regular basis in a proactive and programmatic manner. You are familiar with the solutions and customer’s organization. You bring deep technical knowledge and “know me” of the overall solution and understand how it contributes to the customer’s business goals. You define and own execution of architectural updates to customer’s environment to meet optimization goals.

During a critical situation, you function as the customer’s single point of contact. You are the link between the customer, support and engineering. You provide the context of the solution and the impact of the current critical situation. You provide the available status information at the right level back to the customer.

Your proactive technical work lays the foundation for a successful operation of the solution. You deliver solution-oriented proactive services to ensure solution reliability, stability and optimal performance. You provide technology-specific deep technical expertise. You deliver ad-hoc trainings / workshops according to the customer’s needs. You ensure the solution is built & run according to leading practices and provide the technical knowledge to remediate issues.

This role is flexible in that you can work up to 50% from home.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Minimum Qualifications:

Master's Degree in Computer Science, Information Technology, Engineering, or related field AND experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologiesOR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologiesOR equivalent experience. Work experience in Azure administration (Compute, Network, Storage, Security, Data) Expertise with Azure Well-Architected Framework Experience in development on Azure and DevOps processes Identity, governance, and monitoring solutions Business continuity solutions 

Preferred Qualifications:

Experience with working on Business / Mission Critical applications running on Azure. Demonstrated experience in owning customer relationships and leading cross-functional teams to deliver successful engagements (Technical Account Management / Customer Success)

Responsibilities

Responsibilities

Your responsibilities for this role include advising stakeholders and translating business requirements into designs for Azure solutions that align with the Azure Well-Architected Framework. In this role, you implement solutions on Azure by partnering with various other job roles, including Developers, Administrators, Security and Data Engineers

Additionally responsibilities include:

Create and Update deep technical understanding and documentation of the customer’s technology and solution (KnowMe) and Workload record(s) for their assigned solutions. Deliver Onboarding Assessments and define and drive Delivery Plan Regular internal touchpoints with Team Manager, CSAM (Customer Success Account Manager), Mission Critical CSAs (Cloud Solution Architects) and connected teams like Azure Engineering Direct (AED), Azure Rapid Response (ARR) & others to ensure alignments Ensure successful delivery of remediation activities Identify trends, analyze and coordinate delivery opportunities Provide case trend analysis and recommend remediation activities during regular customer reviews Function as a Trusted Advisor and provide advisory support with deep technical focused analysis and KnowMe. Scoping of engagements, discussing workstreams and assigning actions and agreeing ETAs. Provide RCA in coordination with AED (Azure Engineering Direct) for critical incidents (Sev A/0) Responsibility for driving towards a stable and robust solution and minimize reactive demand and time to recovery.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.