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The Customer Experience Engineering (CXE) team operates within the Office of CTO for the Customer Experience & Success (CE&S) organization, which focuses on Microsoft’s Cloud and AI Platform. We are looking to hire hands-on cloud engineers to join our diverse, talented, high performance, and growing Customer Experience Engineering (CXE) team, within the UK. The position is deeply technical and highly engineering focused with unique opportunities to work on the most challenging and exciting projects using the Azure platform, as well as providing an opportunity to drive contributions into core Azure products to help improve the platform.
Software Engineers within CXE are senior individual contributors who operate globally and engage directly with customers. It is a hands-on technical role spanning across design, build, and production with a focus on issue resolution to accelerate customer production adoption, and innovation to drive adoption at scale. Candidates are expected to comfortably switch from a whiteboard to the Azure Portal and Visual Studio. This is a truly exciting role that will feature unique and challenging technical problems to solve, with opportunities to connect with and learn from some of the best software engineers in the world.
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 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.
Responsibilities
The Customer Experience Engineering team is a highly technical team that operates globally and is responsible for:
- Working directly with our most strategic customer projects worldwide to ensure they are successful on the Azure platform, with a special focus on designing and helping customers to 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 through the eyes of our customers.
- The development and mentorship of technical delivery personnel within the Customer Success organization.
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.
- 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 Express Route.
- 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.
- 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.
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.
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