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.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.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.ResponsibilitiesDevelop 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 valuesQualificationsRequired/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 ROR equivalent experience.4+ years experience in observability, in high scale monitoring and observability systemsExperience 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.Software Engineering IC4 - 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: will accept applications for the role until October 31, 2024#AIPlatformMicrosoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .