Senior Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

234700.0

Posted On

28 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agent Platforms, Agentic Experiences, Scalable Solutions, Automation, Full Stack Software Engineering, Reliability, Performance, Experimentation, A/B Testing, CI/CD, Microservice Architecture, SaaS Applications, Developer Tooling, Data Analytics, AI/ML, C#

Industry

Software Development

Description

Overview Are you interested in building AI Agent platforms and agentic experiences that solve mission critical enterprise problems? We are looking for a Senior Software Engineer who: Designs and delivers scalable, automated solutions and positive end user experiences across multiple applications and service platforms. Builds and operates AI Agent platforms (including lifecycle, management, deployment), experimentation, and evaluations while measuring agent performance, iteration velocity, and user impact. Embraces prototyping, revisiting designs, rewriting components, and discarding early experiments in the spirit of progress. Works across the stack: full stack software engineering with an emphasis on reliability, performance, and automation in enterprise contexts. About Us The Business & Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the core of how business applications are designed and delivered. 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. Responsibilities Develop features with a focus on quality, usability & performance. Participate in livesite operations with an emphasis on timely response, delivery & stakeholder satisfaction. Collaborate across internal & external stakeholders including mentoring others Lead delivery of end-to-end agent platform features (lifecycle, deployment, observability) that scale across enterprise workloads. Own experimentation pipelines: define hypotheses, design A/B experiments, instrument metrics, and analyze results to drive product decisions. Build and maintain evaluation suites for agents (quality, safety, latency, cost) and integrate evaluations into CI/CD to ensure continuous improvement. Prototype rapidly, iterate on architecture and UX, and lead technical tradeoffs that improve reliability, performance, and automation. Embody our culture and values. 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. 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: Experience with technical fundamentals including object-oriented programming, design, algorithms, microservice architecture, debugging, testing, and problem-solving. Experience building systems, code pipelines, and cloud technologies. 2+ years of team leadership experience with a focus on improving productivity of product teams and collaborating across multiple time zones. 8+ years of software development experience and 2+ years of experience building SaaS applications, build systems, developer tooling, or compilers Experience leading large-scale software projects across multiple releases and all stages of the product/service lifecycle. Experience with Dynamics 365 Finance & Operations or other enterprise resource planning (ERP) software. Experience with YAML, MSBuild, C#/Java/X++, PowerShell/scripting languages, ARM/CloudFormation/Cloud Deployment Manager. Experience with data analytics, data insights, and AI/ML technologies. 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves designing and delivering scalable, automated solutions and positive end-user experiences across various platforms, focusing heavily on building and operating AI Agent platforms including lifecycle management and deployment. Responsibilities also include leading the delivery of end-to-end agent platform features and owning experimentation pipelines to drive product decisions.