Senior Software Engineer- Teams AI
Microsoft
Senior Software Engineer- Teams AI
Mountain View, California, United States
Save
Overview
In the Teams AI services team, we are continuously evolving our micro-services to support new messaging features while maintaining a high performance, scalable and cost-effective eco-system. We are looking for a strong Senior Software Engineer who can help us build revolutionary, robust and scalable back-end services. This is a unique opportunity to hone your system design skills, and will give you exposure to cutting edge technology stack (.NET Core, Typescript, Service Fabric, Redis, Azure Cosmos DB) as well as cross-org collaboration opportunities. You will have E2E ownership and make huge impact in this critical area.
As a team we’re proud of what we build and how we build it. We run lean, obsess about customers and use an evidence-based approach to decision making. We have live-site first, metrics-driven culture that prevents us from accumulating debt and necessity to put out fires on daily basis. You will be in a position that carries a ton of responsibility and provides opportunities to impact customers’ satisfaction and grow the business exponentially.
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.
Qualifications
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.
- Experienced delivering resilient, large scale services, coding and development skills with experience in at least one of the following languages: Typescript, C#, .Net Core, Java.
- Experience solving challenging problems and cross team/organization collaboration skills.
Preferred Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 5+ year experience in large-scale distributed systems, client-server architectures, and distributed database systems.
- Experience working with Service Fabric or Kubernetes a plus.
- Experience working with M365 components like Azure Active Directory, Exchange, Substrate and SharePoint.
- Drive to improve performance, availability and supportability of services.
- Drive to increase efficiencies through automation.
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 September 12,2025
#AI #Microsoft #Teams #MicrosoftTeams
Responsibilities
- As part of the AI Services engineering team, you will be designing, developing and maintaining high scale services that form the backbone of Microsoft Teams.
- Apply state-of-the-art techniques in deep learning, natural language processing, and conversational AI to build and improve the AI capabilities of Microsoft Teams.
- Experiment, prototype, and evaluate new ideas and approaches for AI-powered messaging features.
- Work closely with other AI teams across Microsoft to leverage and share best practices and resources.
- You are expected to dive deep into Azure technologies and distributed database systems. You will collaborate with partners, internal and external to Microsoft Teams organization, in order to design and build features that drive growth in our user base. We have numerous partners and thus, strong collaboration skills are required.
- As you develop said features to delight our customers, you are expected to always keep availability, reliability, performance and scalability in mind. We never compromise on these fundamentals.
- Build reusable libraries of services best practices for other teams to leverage.