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# Software Engineer, Ads Platform

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Code Review, Software Debugging, Distributed Systems, Python (Programming Language), Microsoft Office, Reliability Engineering, Cloud Services, Service-Oriented Architecture, Software Engineering, Cloud Platform System, Backend, AI Platforms, Information Technology, Data Analytics, Web Technologies
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/1_microsoftcorp9-1970393556945467

## About the Role

architectural decisions. **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. **Preferred Qualifications:** + 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 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 equivalent experience. + 4+ years' experience in building scalable, secure, high-performance products and services on the backend. + Excellent technical design, problem solving and debugging skills,
proven track record in shipping software on time, with high quality. + Great team player and communicator, solid believer in collaboration and teamwork. + Demonstrated ability to independently drive complex technical initiatives from concept to production with high quality and predictable execution. + Knowledge of Distributed systems design, Microsoft Azure, AWS or similar cloud computing platforms. + Knowledge of modern web technologies, service-oriented architectures, observability, reliability engineering, and data-driven development. + Experience with data-intensive applications and AI/ML-enabled products. + Experience in online advertising, search, e-commerce, or large-scale consumer products. \#MicrosoftAI #MicrosoftAds #DistributedSystems #CloudComputing #EngineeringExcellence #DataDrivenInnovation #CustomerObsessed Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.

## Description

We are looking for a Senior Software Engineer who is passionate about building scalable cloud services, driving technical strategy, and solving complex engineering challenges.
In this role, you will lead the design and development of critical platform capabilities, influence architecture across teams, and help shape the future of Microsoft Advertising.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
This expectation is subject to local law and may vary by jurisdiction. **Responsibilities** + Design, build, and evolve highly scalable, reliable, and secure distributed systems. + Lead the technical design and architecture of complex product features and services, driving engineering excellence and long-term maintainability. + Partner closely with Product Management, Data Science, Engineering, and Platform teams to define strategy, requirements, and execution plans. + Drive end-to-end delivery of critical projects, including design reviews, implementation, monitoring, experimentation, and operational excellence. + Use telemetry, A/B experimentation, and customer insights to identify opportunities, improve product health, and enhance customer experience. + Mentor engineers, provide technical guidance, and help raise the engineering bar through code reviews, design reviews, and best practices. + Influence technical direction across multiple teams and contribute to platform-wide