Software Engineering

The Customer Experience Engineering team is a highly technical team that operates globally and is responsible for:

1. 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.
2. Engineering technical artefacts, products, and guidance to optimize customer adoption of Azure.
3. 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.
4. The development and mentorship of technical delivery personnel within the Customer Success organization. There may be up to 25% travel for this role as Software Engineers within CXE are sometimes expected to work on-site with customers across EMEA, with an occasional need to be in Redmond WA to engage directly with the broader CE&S organization and Azure engineering teams. Software Engineers in CXE are remote workers that can be based across different Microsoft locations or home offices depending on individual circumstances., * 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 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.

Do you have experience in Visual Studio?, Do you have a Bachelor's degree?, Required/minimum qualifications

• Bachelor's Degree in Computer Science or related technical field AND 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 cloud computing topics and ideally Azure, as well as hands-on expertise in topics from one or more of the technical areas below. Please note, we do not expect candidates to have experience in all of these areas., * 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.
• Artificial Intelligence, preferably using the Azure AI ecosystem.

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.

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