The Customer Success Engineering Team sits within the Customer Success (CS) organization, which focuses on Microsoft’s Cloud and AI Platform from within the Worldwide Commercial Business (WCB). Customer Success is an enterprise organization responsible for helping customers to build, deploy and operate Microsoft’s Cloud and AI Platform. The Customer Success Engineering team is a highly technical team that accomplishes three strategic goals:
Work directly with our most strategic customer projects worldwide to ensure they are successful on the platform
Ensure our engineering teams fully understand the end to end technical details of their services through the eyes of our customers
Share best practices and patterns with the larger community worldwide
A Global Cloud Solution Architect is a senior individual contributor who operates globally and engages directly with customers. It is a hands-on technical role spanning across design, build, and production with a focus on issue resolution to remove customer production blockers. Candidates are expected to comfortably switch from a whiteboard to Azure Portal to Visual Studio (or other IDE) to PowerShell (or other scripting environment).
This is an 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.
Global Cloud Solution Architect will be responsible for:
Customer success on the Azure platform with a special focus on designing and helping customers build production applications and reduce technical risks and debts
Providing a positive impact to the strategic direction of Azure engineering teams
Curate and produce high quality guidance for our internal and external communities and customers
Mentorship and development of technical delivery personnel within the Customer Success organization
The ideal candidate will have a breadth of knowledge across cloud computing domains and experience on Azure, as well as expert level hands-on experience in topics from one or more of the technical domains below:
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 and managing security posture
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
Engineering distributed applications within architectural scenarios such as Web and IoT
Designing scalable solutions on cloud platforms with focus on performance and resiliency, utilizing microservices architectures
Application design patterns, and anti-patterns, such as MVC, CQRS and/or SAGA
Interacting with and querying databases and/or NoSQL datastores
Application monitoring and end to end telemetry
Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes, Service Fabric, Cloud Foundry
Defining CI/CD pipelines to automate test and release across different application environments using concepts such as Blue/Green and Canary deployments and related technologies (e.g. Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet)
Source code management using Git or other source control technologies such as TFS
Open source technologies and frameworks
Data and Analytics
SQL Server migration, OSS relational DB migration
Azure Database for PostgreSQL, MySQL, and MariaDB
Azure Cosmos DB, database scalability and availability
Big Data structured and unstructured data including SQL Data Warehouse, Snowflake, Big Query, Redshift and data lake concepts.
Advanced Analytics including Azure Databricks/Spark
Visualization tools as PowerBI, Tableau and Qlik
Data Governance, logging and lineage
Data Science deployment process and frameworks including Pandas, TensorFlow.
Machine Learning including Azure ML, ML Server
Artificial Intelligence including Bot framework, Cognitive Services
Streaming workloads and Lambda architectures using Azure Stream Analytics, IoT/Event Hubs, Service Bus, Spark streaming, Flink, Kafka streams and Storm.
Demonstrated ability to adapt to new technologies and learn quickly, and understand relevant cloud trends required.
English required, French desired.
Bachelor's degree in Computer Science, Information Technology, Engineering Data Science/ML/AI or related field experience.
Certification in one or more of the following technologies preferred: Azure, Containers, Databases, Big Data, Data Science/ML/AI
The position location is based in Canada with a need to be in Redmond WA regularly to engage directly with the broader team and Azure engineering teams. There will be up to 50% travel in Americas as the Global Cloud Solution Architect is expected to work directly with customers on site.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.