Overview
Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you.
Responsibilities
- Define and drive the technical vision and architecture for large-scale, complex systems, ensuring scalability, reliability, security, and cost efficiency.
- Hands-on, contributing to core code, complex implementations, and production issue resolution.
- Influence and align multiple teams and stakeholders across organizations through strong technical leadership.
- Partner with Product Management and leadership to translate business goals into robust technical solutions.
- Mentor engineers, raise the technical bar, and promote a culture of engineering excellence.
- Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency.
- Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions.
- Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability.
- Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities.
Qualifications
Required Qualifications:
BS degree in CS or related engineering field
6+ years Hands-on experience with modern programming languages (e.g., C#, Java, C++, Python, Go).
Strong SQL expertise, Kafka, Hadoop and product development experience including memory management, multithreading, and performance optimization, cloud expertise, AI
Proven experience designing and operating distributed, cloud-based systems at scale.
Ability to influence without authority and drive alignment across multiple teams.
Strong expertise in system architecture, data structures, algorithms, and software design patterns.
Experience with microservices, data pipelines, or large data systems.
Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools
Preferred Qualifications:
Experience with AdTech is a big plus.
Experience building high-throughput, low-latency, or mission-critical services.
Deep knowledge of Azure or other hyperscale cloud platforms.
Experience with data-intensive systems, machine learning platforms, or large marketplaces.
Track record of leading major architectural initiatives or platform transformations.
Strong written and verbal communication skills, including technical design documentation.
A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility
Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
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.**