Senior Software Engineer

MicrosoftRedmond, WA
5d

About The Position

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. We are the SQL Performance and hardware onboarding team, responsible for performance and scalability of SQL on Windows, Linux, on-premises, and cloud. We work with our partners to enable modern micro architectures for SQL and publish world record TPC benchmarks. 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.

Requirements

  • 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.
  • 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

  • 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.
  • 7+ years of programming experience in C/C++/C#/Java/Python.
  • 5+ years of experience related to Performance Engineering skills covering design/development/usage of performance workloads/Tools to measure, analyze and root cause performance and scalability issues in the product.
  • Knowledge and expertise in modern processor technology like ARM, Intel, AMD.
  • Hands-on development and extensive knowledge in one or more of the following areas: Database/OS internals, Hardware knowledge (CPU/System/Networking/Storage), and Cloud related technologies.
  • Proven experience in improving product performance.
  • 2+ years of experience designing and developing production quality software using C/C++.
  • Experience in both Windows and Linux system performance tools.
  • Strong problem-solving, interpersonal, and communication skills.

Responsibilities

  • Contribute to current/upcoming product improvements that have key performance deliverables solutions in collaboration with teammates.
  • Collaborate with OEMs partners in analyzing SQL performance on modern h/w technologies and showcasing product performance for technical marketing deliverables (benchmarks, white papers, demos, etc.)
  • Look into emerging and upcoming Azure SKUs and technologies and exploring new ideas to drive product improvements (hardware/software/config/COGS). This will also include modelling, competitive analysis & benchmarks.
  • Strengthen the engineering process to make sure that cloud deployments (software & hardware) are done in the most efficient way and meet the targeted perf/scale/SLA goals.
  • Identify improvements in supportability that enable performance analysis with a focus on cloud and on-prem platforms.
  • Embody our culture and values
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service