Senior Software Engineer

As a Senior Software Engineer on the Trust & Safety Platform team, you’ll design and build the core, low-latency systems that evaluate ads, content, and user signals against policy in real time. These systems process hundreds of billions of entities daily, providing the enforcement backbone for content moderation, ad quality, and user protection workflows across Microsoft’s ecosystem.

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

• Design and implement distributed, real-time pipelines that operate with high throughput and low latency, handling spiky and dynamic workloads across the globe.
• Build core platform components including rule execution engines, signal aggregators, and policy enforcement APIs that support human and automated decisions.
• Collaborate with ML engineers to support scalable inference integration while keeping systems modular, performant, and cost-efficient.
• Drive system-level improvements in observability, fault tolerance, and scalability.
• Lead technical design reviews, own key service components, and contribute to long-term architecture and platform evolution.

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.
• 4+ years of experience building distributed systems or high-scale backend infrastructure.
• Strong programming experience in C++, C# with knowledge of object-oriented design, concurrency, and system architecture.
• Expertise in performance optimization, latency tuning, and scalable service design.
• Experience with stream processing or event-driven architectures (e.g., Apache Flink, Kafka Streams, Beam).
• Experience with cloud-native data infrastructure (e.g., Kubernetes, Azure, BigQuery, Delta Lake, Cosmos DB).

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:

• Building efficient ML inference flow into production at scale.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#MicrosoftAI