Senior Software Engineer

We are looking for a Senior Software Engineer who thrives on hands-on coding and problem solving to build the real-time data pipelines and serving systems that power large-scale ML models. You will be directly responsible for designing, coding, and optimizing ETL pipelines, GPU inference serving that ensure models get the freshest data and serve results with millisecond-level latency.

This role is ideal for someone who loves to write high-quality production code, profile and debug performance bottlenecks, and ship optimizations at scale, while collaborating closely with applied scientists and other engineers.

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.  

• Design & code real-time ETL/feature pipelines (e.g., Flink or Spark Structured Streaming) feeding online stores/caches with strict freshness.
• Define and meet SLOs with OpenTelemetry/Prometheus/Grafana for metrics, tracing, and alerting.
• Implement robust queuing/streaming with Kafka/Pulsar.
• Optimized GPU inference services on Triton Inference Server (or ONNX Runtime/TensorRT).
• Profile & optimize end-to-end: CPU/GPU utilization, memory, I/O, vectorization, caching etc.
• Ship safely with CI/CD.
• Collaborate with applied scientists on feature contracts, embedding pipelines, validation.
• Code reviews, docs, and mentoring.

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.
• Production experience with streaming frameworks (Flink or Spark ) and messaging (Kafka).
• Hands-on with Kubernetes and containers; comfort with service ops (logs, metrics, scaling).
• Practical experience with GPU inference on Triton or ONNX
• Runtime/TensorRT (model packaging, runtime tuning, batching).
• Performance tuning (profilers/flamegraphs), concurrency, networked services.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Tech stack: ML Sys| Flink | Spark | Kafka | Azure | Kubernetes | Triton | ONNX | OpenTelemetry | Prometheus | Grafana |GPU inference |OpenAI Models.

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:

• 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.
• Experience with real-time feature stores or embedding pipelines.
• Prior contributions to GPU batching, dynamic scheduling, or multi-model serving.
• 6+ years building distributed systems in production.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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

---