Job Overview
We are seeking a Senior Observability Engineer to ensure the performance and efficiency of our Azure Artificial Intelligence (AI) models on the inferencing platform. You'll work closely with engineers and data scientists to develop systems for near real-time data collection and analysis. As an expert in high-scale monitoring and observability, you will utilize Azure Monitor, OpenTelemetry (OTEL), Grafana, Prometheus, and other telemetry frameworks. Your role includes designing, enriching, and maintaining these tools to manage customer AI workloads, automate engineering processes, and enhance overall efficiency.
Responsibilities
- Develop and implement observability strategies for optimizing AI model performance and graphics processing unit (GPU) utilization.
- Analyze metrics, logs, and traces to identify performance bottlenecks and errors.
- Instrument metrics when desired telemetry is unavailable.
- Drive actions to improve the system’s health, performance and key metrics.
- Collaborate with cross-functional teams to improve service reliability and performance.
- Develop and refine metrics to assess the performance and effectiveness of runtime inferencing.
- Lead efforts in driving down latency and throughput improvements and drive efficiency and utilization of the system.
- Use competitive industry trends and technologies related to observability and performance engineering to keep us state of art.
- Other: Embody our culture and values.
Qualifications
Required/Minimum Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years software engineering experience with coding in languages including, but not limited to, Python, Go, or R OR equivalent experience.
- 4+ years experience in observability, in high scale monitoring and observability systems.
- Experience with Azure Monitor, OTEL, Grafana, Prometheus, or other telemetry frameworks.
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/Additional Qualifications:
- Master’s degree in computer science, Engineering, Data Science, Operations Research or a related field and 5+ years observability and engineering experience.
- Proficiency in data science modeling and statistical methodologies.
- Proficiency in Azure Monitoring Systems in the Azure ecosystem.
- Proficiency in Performance systems.
- Excellent critical thinking skills and a knack for innovative solutions.
- Persuasive communication and collaboration abilities.
Compensation
The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Microsoft Careers .
Microsoft will accept applications for the role until October 31, 2024.
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