We are hiring Solution Engineers to help high-growth Digital Native and Startup customers build, modernize and scale on Microsoft Azure. This role wins the technical decision by connecting customer product and business outcomes to practical cloud, AI, data and application architectures, then proving those architectures through demos, workshops, pilots and production-readiness plans.
The successful candidate will work across account teams, specialists, partners, customer success, engineering and product groups to unblock adoption, accelerate opportunities and turn customer ambition into measurable Azure usage, revenue and long-term platform commitment.
Why this role matters
Digital Native and software company customers are increasingly AI-first, software-led and globally distributed. They need technical partners who can move from vision to architecture, proof and production quickly.
Customer work is spanning agentic AI, Azure AI Foundry, Azure OpenAI, data modernization, cloud-native applications, developer productivity, capacity planning, security, governance and FinOps.
The role requires both technical depth and commercial judgement: the SE must influence senior technical leaders, remove blockers, qualify technical risk, create repeatable patterns and help progress opportunities across regions.
The Solution Engineer will serve as a technical advisor for priority EMEA customers, leading technical discovery, architecture, demonstrations, proofs of concept, and production-readiness engagements. The role will translate business and AI requirements into executable Azure solution plans, remove technical blockers, influence customer decision makers, and accelerate time to production and Azure consumption.
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.
In line with our Flexible Work approach, for roles at Microsoft Germany, we recommend spending at least two days per week in the office or at the customer site.
Responsibilities
Own technical strategy for assigned Digital Native and Startup customers from discovery through technical close, MVP, pilot and production adoption.
Lead architecture-led customer conversations across Azure AI, application innovation, data platforms, developer tools, cloud operations, governance and security.
Design credible end-to-end solutions using services such as Azure AI Foundry, Azure OpenAI, agents and RAG patterns, Azure Kubernetes Service, containers, serverless, APIs, Cosmos DB, Azure SQL, PostgreSQL, Microsoft Fabric, Azure Databricks, Power BI and GitHub.
Deliver demos, whiteboarding sessions, architecture workshops, proof of concepts and technical validations that demonstrate clear business value and path to production.
Translate customer product goals, business priorities and technical complexity into decision criteria, success plans, implementation roadmaps and measurable outcomes.
Identify and remove technical blockers including architecture gaps, security concerns, capacity and quota constraints, migration risks, integration challenges and operational readiness issues.
Partner with account executives, specialists and customer success teams to support pipeline creation, opportunity progression, technical win documentation, milestone hygiene and forecast quality.
Differentiate Microsoft against competitors by positioning Azure as a trusted, secure, scalable and integrated platform for AI-native software companies.
Capture reusable patterns, lessons learned, field feedback and customer insights so the Digital Natives business can scale consistently across US, Asia and EMEA.
Qualifications
Experience in technical pre-sales, solution engineering, cloud architecture, software engineering, technical consulting or equivalent customer-facing technical role.
Demonstrated ability to influence technical and business stakeholders, including CTOs, founders, engineering leaders, architects and product leaders.
Hands-on understanding of cloud architecture and modern application design, including security, reliability, scalability, integration and operations.
Practical experience with AI, data, analytics, application modernization or developer platform solutions on Azure or comparable cloud platforms.
Experience creating demos, prototypes, POCs, pilots or MVPs that lead to technical decisions and production adoption.
Strong communication, storytelling and collaboration skills; ability to drive consensus without direct authority.
Bachelor's degree in Computer Science, Engineering, Information Technology or related field, or equivalent practical experience.
Preferred qualifications
Depth in one or more of: Azure AI Foundry, Azure OpenAI, agentic systems, RAG, Azure Kubernetes Service, containers, serverless, API platforms, Cosmos DB, Azure SQL, PostgreSQL, Microsoft Fabric, Azure Databricks, Power BI or GitHub.
Experience with Digital Native, Startup, SaaS, marketplace, venture-backed or product-led-growth customer scenarios.
Understanding of AI governance, Responsible AI, security, compliance, model evaluation, observability, cost management and FinOps.
Ability to support technical sales motions across complex territories, multiple stakeholders and fast-moving customer priorities.
Experience with competitive positioning and objection handling in AI, cloud platform, data or developer tool markets.
Digital Solution Engineering IC4 - The typical base pay range for this role across Germany is € 81,500.00 - € 139,200.00 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/germany-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.
Skills Required
- Experience in technical pre-sales, solution engineering, cloud architecture, software engineering, technical consulting, or an equivalent customer-facing technical role
- Ability to influence technical and business stakeholders, including CTOs, founders, engineering leaders, architects, and product leaders
- Hands-on understanding of cloud architecture and modern application design, including security, reliability, scalability, integration, and operations
- Practical experience with AI, data, analytics, application modernization, or developer platform solutions on Azure or comparable cloud platforms
- Experience creating demos, prototypes, proofs of concept, pilots, or MVPs that lead to technical decisions and production adoption
- Strong communication, storytelling, and collaboration skills, with the ability to drive consensus without direct authority
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
- Depth in one or more of Azure AI Foundry, Azure OpenAI, agentic systems, RAG, Azure Kubernetes Service, containers, serverless, API platforms, Cosmos DB, Azure SQL, PostgreSQL, Microsoft Fabric, Azure Databricks, Power BI, or GitHub
- Experience with digital-native, startup, SaaS, marketplace, venture-backed, or product-led-growth customer scenarios
- Understanding of AI governance, Responsible AI, security, compliance, model evaluation, observability, cost management, and FinOps
- Ability to support technical sales motions across complex territories, multiple stakeholders, and fast-moving customer priorities
- Experience with competitive positioning and objection handling in AI, cloud platform, data, or developer tool markets
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
