Solution Design & Architecture

• Design end-to-end solutions using Azure application services, containers, APIs, integration technologies, data platforms, and AI capabilities.
• Guide customers in building scalable, secure, and maintainable application architectures across cloud-native and hybrid environments.
• Help customers modernise development processes and improve engineering effectiveness through automation and AI-assisted development.
• Support customers in adopting modern security, governance, and identity practices using Microsoft security and management platforms.
• Develop reference architectures and technical guidance that enable successful customer outcomes.

Customer & Market Engagement

• Develop a deep understanding of customer priorities, business challenges, and transformation goals.
• Connect Microsoft technology capabilities to tangible business outcomes and strategic objectives.
• Share emerging technology trends, AI innovation, application development practices, and market insights with customers and internal teams.
• Act as a technology advocate, helping customers understand and adopt modern application and AI solutions.

Sales & Business Impact

• Partner with account teams and specialists to drive Apps & AI pipeline growth and accelerate customer decision-making.
• Contribute technical strategy to key opportunities and support deal execution.
• Identify opportunities for application modernization, AI adoption, developer productivity, and cloud transformation.
• Capture customer feedback and competitive insights to strengthen Microsoft's market position.
• Influence technical and business stakeholders to build consensus around Microsoft solutions.

Team & Community Contribution

• Mentor and coach Solution Engineers and technical peers.
• Share technical knowledge, best practices, reusable assets, and proven approaches across the organisation.
• Contribute intellectual property, technical content, customer success stories, and community engagements.
• Foster a culture of innovation, collaboration, learning, and customer obsession.
• Continuously develop expertise in emerging application development, cloud, and AI technologies.

Qualifications

Required Qualifications

• Must be legally authorised to work in the United Kingdom to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• Experience in technical pre-sales, solution architecture, software engineering, consulting, cloud engineering, or related technical roles.
• Experience designing, building, or helping customers adopt modern application platforms and cloud technologies.
• Experience engaging with both technical and business stakeholders in customer-facing environments.
• Strong communication and presentation skills with the ability to explain complex concepts to diverse audiences.

Technical Experience

• Experience with modern application development platforms, frameworks, and software engineering practices.
• Understanding of cloud-native architectures including APIs, microservices, containers, Kubernetes, and serverless platforms.
• Experience with application modernization strategies and migration approaches.
• Knowledge of DevOps practices, CI/CD, infrastructure as code, platform engineering, and developer productivity solutions.
• Familiarity with AI technologies, generative AI, copilots, agents, and intelligent applications.
• Experience with Azure services, GitHub, developer tools, integration technologies, and application platforms.
• Understanding of application security, governance, identity, compliance, and operational excellence.
• Ability to architect solutions that balance scalability, resilience, security, performance, and cost.

Preferred Qualifications

• Experience supporting enterprise customers through digital transformation initiatives.
• Experience with application modernization, cloud migration, and transformation programs.
• Hands-on experience with Azure, GitHub, Kubernetes, Containers, Power Platform, or comparable cloud and development technologies.
• Experience with AI solutions, machine learning, generative AI, copilots, agents, and intelligent applications
• Experience delivering technical workshops, proofs of concept, hackathons, and architecture design sessions.
• Relevant Microsoft or industry certifications in cloud, AI, development, architecture, or security technologies.
• Experience working in collaborative sales, engineering, and customer success environments.

Solution Engineering IC2

• The typical base pay range for this role across United Kingdom is £ 36,600.00 - £ 63,000.00 per year. Certain roles may be eligible for benefits and other compensation.
• Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer.

• All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
• If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.