Software Engineering
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling
I korthet
Microsoft's SWIQ Performance team is seeking a Software Engineer to optimize large-scale telemetry and data platforms powering Microsoft 365 and Copilot. You will build services, tools, and automation to improve efficiency, scalability, and cost-effectiveness, working with technologies like Azure Storage, Cosmos, and Blueshift. This role offers a chance to develop expertise in distributed systems, cloud infrastructure, big data, and AI.
Ansvarsområden
- Build services, tools, and automation to enhance the efficiency and reliability of large-scale telemetry and data platforms.
- Investigate and implement storage and compute optimization opportunities across Azure Storage, Cosmos, and Blueshift.
- Develop dashboards, analytics, and recommendation tooling for engineers to understand usage patterns and identify savings.
- Collaborate with partner teams to validate opportunities, implement improvements, and measure business impact.
- Apply AI-assisted engineering tools and automation to improve investigations, analysis, and operational workflows.
- Contribute to system design, implementation, testing, monitoring, and ongoing service improvements.
Krav
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including Microsoft Cloud Background Check.
Önskade kvalifikationer
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
- Experience building backend services, cloud applications, data pipelines, or distributed systems.
- Solid problem-solving skills and ability to analyze complex technical issues using data.
- Experience working collaboratively in a team environment and driving projects to completion.
- Interest in cloud infrastructure, data platforms, automation, and AI-assisted engineering practices.
- Experience with Azure Storage, Blob Storage, or storage lifecycle management.
- Experience with Kusto (KQL), Cosmos, Spark, or large-scale telemetry systems.
- Experience using data analytics to identify performance, reliability, or cost-efficiency improvements.
- Experience with AI-powered development tools, automation frameworks, or intelligent operational tooling.
Förmåner
- Opportunity to see your work translate directly into meaningful improvements in platform efficiency and operational cost savings.
- Chance to learn how Microsoft runs large-scale cloud services.
- Develop expertise in distributed systems, cloud infrastructure, big data platforms, and emerging AI technologies.
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