Microsoft Software Engineer II 

United States, Washington 

90807945

Required/Minimum Qualifications

• 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.

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.

Preferred/Additional Qualifications

• 2+ years of experience designing and developing production quality software using C/C++; proven experience in improving product performance
• Extensive and specialized knowledge in one or more of the following areas: Database/OS internals, Big Data technologies, Hardware knowledge (CPU/System/Networking/Storage..), and Cloud related technologies
• 2+ years of experience related to Performance Engineering skills covering design/development/usage of performance workloads/test-suites/Tools to measure, analyze and root cause performance and scalability issues in the product
• Experience in both Windows and Linux system administration fundamentals
• Methodical problem-solving, interpersonal, and communication skills

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until June 30, 2024.

• Identifying and driving prototype projects for quick evaluation of design ideas
  
• Contributing to current and future product improvements around performance (perf/scale/SLA)
• Looking into emerging and upcoming Azure HW SKUs and technologies, exploring new ideas to drive product improvements (hardware/software/config/COGS). Also includes modeling, competitive analysis & benchmarks.
• Modify the engineering process to ensure cloud deployments (software & hardware) are done in the most efficient way and meet the targeted perf/scale/SLA goals.
• Identifying improvements in supportability and customer self-diagnostics that enable live monitoring with focus on identifying/addressing performance related issues.
• Spend days collaborating with, teaching, and learning from a diverse set of world class engineers.
• Obsessed with customers, making data-driven decisions, and using telemetry collected from customers and production systems. ​
• Embody our and