Senior Software Engineer

In the Viva Insights team 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 seek 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. 

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. We build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive. 

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.
• Experience in design and implementation of large-scale cloud services.

Preferred Qualifications:

• Passion for customer-focused innovation. 
• Building extensible and maintainable services that last the test of time. 
• Proficient technical, cross group collaboration and communication skills. 
• Knowledge of modern engineering practices like automated deployments with integrated quality gates and experience working with modern version control systems like Git. 
• Experience with data analysis and machine learning.  

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 May 12, 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 strong collaborative approach spanning many teams across geographies. 
• Mentor and develop junior 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.