Performance engineer evaluates product performance, identifies bottlenecks in large-scale distributed systems, sets benchmarks, and collaborates on scalability solutions. Requires BS in Computer Science and experience in performance analysis.
166k – 225k
On-siteFullstack Engineering
About the role
The impact you will have:
Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved. Dimensions include latency, data and compute scalability, concurrency, cost, and price to performance ratio. Impact spans all cloud providers and all major areas.
Set the performance expectations for all cross-cutting efforts early on through specialized benchmarks capturing the intended customer user journeys, and make sure they are met before deployed to customers.
Understand the performance characteristics of the compute instance types, storage layers, and all cloud services Databricks depends on and deploy optimal solutions to meet the customer demand.
Work with customers to root cause and mitigate performance problems during production, previews, and POCs.
What We Look For:
BS (or higher degree) in Computer Science, or a related field
Experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions.
Experience in software development, preferably in large scale distributed systems
Ability to measure and document the impact of performance features to existing customers, such as possible regressions for certain workloads, their extent, and which customers will be affected.
Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.
Skills
Performance AnalysisDistributed SystemsBenchmarkingTelemetryCloud ServicesScalabilityRoot Cause AnalysisSoftware DevelopmentLatency OptimizationConcurrency
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