Microsoft
Overview
Join to apply for the
Senior Software Engineer
role at
Microsoft . Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. We are customer-obsessed problem-solvers who orchestrate deep engagements in areas like change management, incident management, support, and enablement. We analyze and amplify customer voices across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We focus on scaling learnings across our customer base and are committed to diversity and inclusion. Our Azure Reliability team uses a Site Reliability Engineering (SRE) approach to make Azure the world\’s safest and most reliable cloud. We emphasize long-term platform improvements, data-driven decisions, and increasingly leveraging AI to scale reliability across Azure. We value collaboration, continuous learning, and empowering every team member to grow and contribute authentically. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, with values of respect, integrity, and accountability in an inclusive culture. Responsibilities Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures. Lead by example and mentor others to produce extensible and maintainable code used across products and various program workstreams. Develop and evangelize data and insights, best practices, and standards to improve system, platform, and/or product development and operations across the business. Drive continuous improvements in the architecture, code, features, operations and comprehensive user scenarios of products by leveraging end-to-end technical expertise. Make improvements to the product fundamentals and architecture, share knowledge and code, and look for ways to make what we build useful to multiple teams and products. Demonstrate end-to-end expertise in distributed systems design and interactions between cloud technology layers. Provide technical leadership in change management ensuring deployments or changes shipped by Azure Services to production are safe and follow safe deployment practices. Provide deep business and technical expertise to identify causes of incidents and help Azure services with insights to make investments and improvement decisions in change safety posture. Qualifications
Required Requirments: Bachelor\'s Degree in Computer Science, or related technical discipline 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. 4+ years of experience in data science, analytics, or machine learning 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse) Other Requirments 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 Qualifications Proven ability to design and evaluate machine learning models for business impact, apply advanced statistical techniques, and communicate insights effectively, with hands-on proficiency in SQL, Python, and R. Experience in developing data pipelines and reporting (Power BI, Power Automate, Synapse, etc.) and/or working with ML models to analyze complex datasets using statistical techniques and providing actionable insights. 7+ years of experience managing cross-functional and/or cross-team projects. Excellent written and verbal technical communication skills and demonstrated ability to drive cross-team improvements. Creative problem-solving and analytical skills to drive keen insights and opportunities with a sense of urgency. Understanding and knowledge about big data and writing queries with Kusto/KQL. Technical knowledge of Azure, storage, file systems, networking. Deploying solutions in Azure Services & Managing Azure Subscription. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area, with base pay ranges of USD $158,400 - $258,000 per year for those locations. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until October 24, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
#J-18808-Ljbffr
Join to apply for the
Senior Software Engineer
role at
Microsoft . Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. We are customer-obsessed problem-solvers who orchestrate deep engagements in areas like change management, incident management, support, and enablement. We analyze and amplify customer voices across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We focus on scaling learnings across our customer base and are committed to diversity and inclusion. Our Azure Reliability team uses a Site Reliability Engineering (SRE) approach to make Azure the world\’s safest and most reliable cloud. We emphasize long-term platform improvements, data-driven decisions, and increasingly leveraging AI to scale reliability across Azure. We value collaboration, continuous learning, and empowering every team member to grow and contribute authentically. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, with values of respect, integrity, and accountability in an inclusive culture. Responsibilities Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures. Lead by example and mentor others to produce extensible and maintainable code used across products and various program workstreams. Develop and evangelize data and insights, best practices, and standards to improve system, platform, and/or product development and operations across the business. Drive continuous improvements in the architecture, code, features, operations and comprehensive user scenarios of products by leveraging end-to-end technical expertise. Make improvements to the product fundamentals and architecture, share knowledge and code, and look for ways to make what we build useful to multiple teams and products. Demonstrate end-to-end expertise in distributed systems design and interactions between cloud technology layers. Provide technical leadership in change management ensuring deployments or changes shipped by Azure Services to production are safe and follow safe deployment practices. Provide deep business and technical expertise to identify causes of incidents and help Azure services with insights to make investments and improvement decisions in change safety posture. Qualifications
Required Requirments: Bachelor\'s Degree in Computer Science, or related technical discipline 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. 4+ years of experience in data science, analytics, or machine learning 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse) Other Requirments 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 Qualifications Proven ability to design and evaluate machine learning models for business impact, apply advanced statistical techniques, and communicate insights effectively, with hands-on proficiency in SQL, Python, and R. Experience in developing data pipelines and reporting (Power BI, Power Automate, Synapse, etc.) and/or working with ML models to analyze complex datasets using statistical techniques and providing actionable insights. 7+ years of experience managing cross-functional and/or cross-team projects. Excellent written and verbal technical communication skills and demonstrated ability to drive cross-team improvements. Creative problem-solving and analytical skills to drive keen insights and opportunities with a sense of urgency. Understanding and knowledge about big data and writing queries with Kusto/KQL. Technical knowledge of Azure, storage, file systems, networking. Deploying solutions in Azure Services & Managing Azure Subscription. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area, with base pay ranges of USD $158,400 - $258,000 per year for those locations. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until October 24, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
#J-18808-Ljbffr