Overview

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The Customer Experience Engineering (CXE) team operates within the Office of CTO for the Customer Experience & Success (CE&S) organization, focusing on Microsoft’s Cloud and AI Platform. We are hiring hands-on cloud engineers to join our diverse, high-performance CXE team, within the UK. The position is deeply technical and engineering-focused with opportunities to work on challenging projects using the Azure platform and contribute to core Azure products.

Software Engineers within CXE are senior individual contributors who operate globally and engage directly with customers. This is a hands-on technical role spanning design, build, and production with a focus on issue resolution to accelerate customer production adoption and innovation at scale. This role comfortably switches from a whiteboard to the Azure Portal and Visual Studio. It is a role with unique and challenging technical problems and opportunities to connect with other top software engineers.

This role is flexible in that you can work up to 100% from home.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we grow through a mindset of growth, collaboration, and inclusion.

Responsibilities

• Working directly with our most strategic customer projects worldwide to ensure they are successful on the Azure platform, focusing on designing and helping customers build production applications and reduce technical debt.
• Engineering technical artefacts, products, and guidance to optimize customer adoption of Azure.
• Providing a positive impact to the strategic direction of Azure engineering teams by ensuring they fully understand the end-to-end technical details of their services from the customers’ perspective.
• The development and mentorship of technical delivery personnel within the Customer Success organization.

There may be up to 25% travel for this role as CXE engineers sometimes work on-site with customers across EMEA, with occasional need to be in Redmond, WA to engage with the broader CE&S organization and Azure engineering teams. Software Engineers in CXE are remote workers that can be based across Microsoft locations or home offices depending on circumstances.

Qualifications

Required/minimum qualifications

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional Or Preferred Qualifications

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

The Ideal Candidate Will Have a Breadth Of Knowledge Across Azure And Cloud Computing Topics, As Well As Specialist Hands-on Expertise In Topics From One Or More Of The Technical Areas Below

Application Development

• Engineering distributed applications within architectural scenarios such as Web and IoT.
• Programming languages such as C#, JavaScript/TypeScript, Java and Python.
• Designing scalable solutions on Azure with focus on performance and resiliency.
• Application design patterns, and anti-patterns, such as MVC, CQRS or SAGA.
• Implementing messaging patterns and application integration techniques and technologies.
• Interacting with and querying databases and/or NoSQL datastores.
• Application monitoring and end to end telemetry.
• Implementing microservice architectures.
• Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes and Service Fabric.
• Defining CI/CD pipelines to automate test and release across different application environments using concepts such as Blue/Green and Canary deployments.
• Source code management using Git or other source control technologies such as TFS.
• Open source technologies and frameworks.

Infrastructure

• Modelling cloud infrastructure based on application scale and capacity needs, providing data-driven recommendations to optimize application architecture and performance.
• Use of architectural patterns and anti-patterns for resiliency and geo-availability.
• Cloud networking and hybrid connectivity with expertise in BGP and SD-WAN solutions as well as Azure networking services such as ExpressRoute.
• Application migrations for scenarios involving components such as Windows/Linux VMs, databases, NFS/SMB file shares, and VDI.
• Management, monitoring and operations at-scale, preferably in a cloud environment.
• Identity and access control with experience administering B2B and B2C applications as well as a working knowledge of Azure AD.
• Security and governance with a strong proficiency in defining and modelling security baselines.
• Infrastructure-as-Code to build, test and deploy infrastructure for application environments.
• Running microservices and container-based workloads in production.
• CNCF projects and open-source technologies.

Data and Analytics

• Relational database migrations across SQL Server and OSS database technologies.
• Open source relational database technologies such as MySQL, MariaDB and PostgreSQL; preferably in the context of Azure Database.
• Azure Cosmos DB with an understanding of how to achieve scalability and availability.
• Working with structured and unstructured data in Big Data scenarios using technologies such as SQL Data Warehouse, Snowflake, Big Query, Redshift and data lake concepts.
• Advanced Analytics using technologies such as Databricks and Spark.
• Developing streaming workloads using technologies such as Spark streaming, Flink, Kafka streams and Storm.
• Visualization tools such as PowerBI, Tableau and Qlik.
• Data governance, logging and lineage.
• Data Science deployments and the use of frameworks such as Pandas and TensorFlow.
• Machine Learning, preferably using Azure ML and ML Server.
• Artificial Intelligence, preferably using Azure Cognitive Services and the Microsoft Bot Framework.

Candidates must also exhibit a technical propensity to learn new technologies and stay abreast of Azure advancements and understand relevant cloud trends.

Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security and Equal Opportunity

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, gender identity or expression, or any other characteristic protected by local laws. If you need assistance, see accommodations.