Senior Software Engineer

Our vision is to establish a trusted platform that enables productive and healthy enterprises in an era of AI transformation and remote work. We aim to solve our customers' business challenges by helping organizational leaders understand how AI is transforming outcomes and improving productivity. We deliver value through personalized and deep analysis of Copilot and AI adoption, recommending actions to enhance productivity. 

We embrace a startup culture, dreaming big, working hands-on with customers, and building innovative solutions. Our mission is to empower individuals, managers, and leaders to leverage insights for productivity and business resilience in the world of AI evolution. 

We are looking for a Senior Software Engineer with a passion for technology, intellectual curiosity, and a willingness to learn and share. This opportunity allows you to make a broad positive impact using a range of software tools and services, including large-scale interactive data analytics, scalable map-reduce compute, machine learning and AI, LLM models, service and data engineering, security, compliance, and service management. We process hundreds of millions of users and billions of activity signals daily to deliver value to our customers. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications: 

• 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.

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 Qualifications: 

• Good technical, cross group collaboration and communication skills. 
• Customer-focused innovation. 
• Knowledge of modern engineering practices like automated deployments with integrated quality gates and experience working with modern version control systems like Git. 
• Demonstrated depth and experience in design and implementation of large-scale cloud services.
• Building extensible and maintainable services that last the test of time.
• Experience with data analysis and machine learning.  

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, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

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 June 4, 2025.

#DPG

• Drive detailed design and implementation of a highly scalable distributed, big data and analytics cloud service that serves interactive and intelligent data insights. 
• Be a key contributor to delivering a high-quality, highly available service that meets customer SLAs across the globe. 
• Drive thinking and improvements for systems and engineering processes with simplicity and maintainability as core tenets. 
• Deliver value through a collaborative approach spanning many teams across geographies. 
• Mentor and develop peer engineers through sharing and learning. 
• Be a role model for open, honest, and inclusive approach to problem solving. 
• Collaborate with appropriate stakeholders to determine user requirements for a scenario. 
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform1. 
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). 
• Leverage subject-matter expertise of product features and partner with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items. 
• Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.