Software Engineer II

Microsoft•Redmond, WA

1d•Remote

About The Position

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Azure SQL Platform is guided by a visionary and transformative mission to revolutionize cloud database management and deliver the platform, service, and features, for running the world’s most critical workloads for millions of customers worldwide. We are looking for an software engineer with strong technical skills to join the team. You will have an opportunity to shape and build the next generation of SQL platform designed for 100x customer and request volume. This is an opportunity to work on cutting-edge technologies, tackle complex challenges, and collaborate with a highly skilled and diverse global team. We develop, test, and check code in every day We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role. At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
2+ years of experience developing backend services like storage, databases or networking systems in large distributed systems environment.
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.

Nice To Haves

3+ years of experience with distributed systems.
2+ years of hands-on experience with containers (Docker, Kubernetes, or similar technologies).

Responsibilities

Design, implement and operate services, microservices and components that will improve the SQL DB service offerings ensuring quality, maintainability, and end-to-end ownership.
Release features on time, with high quality, meeting functional, performance, scalability, and compliance requirements .
Strengthen the engineering process to ensure cloud deployments are done in the most efficient way and meet the targeted reliability, performance, scalability, and Service Level Agreement (SLA) goals.
Identify improvements in supportability and customer self-diagnostics to enhance live monitoring and address performance and reliability related issues.
Learn our customers’ experience first-hand by participating in the on-call rotation for the service teams.
Drive decisions with data, prioritize customer obsession, and leverage telemetry from production systems and customer usage pattern.
Embody our Culture and Values

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