Software Engineering II-Azure Data
hace 2 semanas
Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
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.
Responsibilities
- Design, code, test, and develop features that will improve the SQL DB service offerings ensuring quality, maintainability, and end-to-end ownership.
- Contribute to current and future product improvements around reliability and performance of the database service.
- 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.
- Develop deep insights into customer utilization of their databases and resources available. Employ reliable analytical skills to build flexible infrastructure to learn, and model, current and future database resource consumption, while efficiently running business scenarios to replicate changes in service architecture and its effect on usage patterns. Identifying opportunities to maximize utilization of the underlying storage service we provision for our customers.
- Focus on building the necessary storage infrastructure, and models (with terabytes of service logging telemetry) that allow us to make prudent, and informed decisions with respect to SQL DB storage infrastructure.
- Ensure service viability and success with dependable understanding of a variety of business and engineering factors. Including: the adoption of different SQL DB offerings, the usage patterns of customers, and the resource/IO limits of our clusters and Azure Storage service.
Requirements
- Bachelor's Degree in Computer Science or related technical field or equivalent work experience AND: 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python or equivalent work experience.
- 2+ years' experience in building and operating a cloud service.
- 2+ years of experience with at-scale distributed systems, and/or data analytics and relevant data systems at the Petabytes+ scale.
Preferred 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, or Python OR Master'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.
- Great curiosity and willingness to question, undaunted by hard technical problems.
- Reliable design, implementation, and communication skills.
- Two or more of the following are preferred, but not required: 2+ years of proficiency with C++, and/or C#, and knowledge of SQL Understands the reliability, scalability, performance, consistency, and debuggability requirements in a large cloud system 2+ years of experience with testing (performance, stress, fault injection testing) 2+ years of experience with large-scale distributed systems.
Other Requirements
- 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.
Benefits
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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