Software Engineer II

Overview

The Azure platform needs to meet the performance demands of Azure, Microsoft's cloud services, and server application developers. Azure and Edge Performance team works on the performance of core Azure components and services. We are responsible for understanding and improving performance end-to-end to help product teams reach performance and efficiency goals for key Azure scenarios. Cross-team collaboration is core to how the team operates

We are looking for a Software Engineer to implement, enhance, verify and operate the infrastructure for validating performance of core Azure components in the cloud, improve and leverage data gathering and analysis capabilities, and reports results to stakeholders. The position provides opportunities for making an impact on high-growth areas critical for Microsoft, for learning about cloud services and infrastructure, operating systems, performance engineering methodology, workloads design and implementation, and for collaborating and learning from upper-level performance engineering talent

Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centred on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world

Qualifications

Required Qualifications-

• BS/MS degree in Computer Science OR related technical field
• 5+ years of software development experience
• Experience developing on and for Linux
• Proficiency with programming in languages such as, but not limited to, C, C++, C#
• Proficiency with programming in languages such as, but not limited to, SQL, KQL

Preferred Qualifications-

• Experience with industry-standard benchmark software suits such as SPEC and TPC
• Experience with Linux performance measurements, analysis and tuning, perf, atop, flame graphs
• Experience with cloud infrastructure development, including containers and infrastructure as code
• Experience with data warehousing, ETL workloads and automation frameworks, dashboards
• Experience with data science tools and techniques, EDA

Responsibilities

• Defining, implementing and executing test plans to achieve release priorities and specific customer requirements
• Triaging, validating and reporting test results to key stakeholders
• Onboarding, validating and tuning industry-standard workloads and benchmarks
• Contributing to secure, flexible and reliable infrastructure for test plan execution
• Implementing and supporting compliant, efficient and reliable data engineering infrastructure