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
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Maximo)

GCP Data Solutions Architect

Senior Azure Data Engineer - UK remote

Senior Azure Data Engineer - Remote

Senior Azure Data Engineer - Remote

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.