Performance Engineer Sr

Dayforce

Posted 1mo ago

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Profile, analyze, and optimize application code
Conduct deep-dive investigations into performance issues
Identify and resolve performance bottlenecks
Analyze and optimize C# / ASP.NET application performance
Analyze and optimize database queries and execution plans
Analyze and optimize network calls and API behavior
Collaborate with developers and architects to embed performance considerations
Influence architectural decisions for scalability and efficiency
Drive performance-focused code reviews
Optimize enterprise SaaS applications
Design and execute capacity and scalability experiments
Build and enhance tools to monitor, analyze, and visualize performance metrics
Analyze performance data and provide actionable recommendations
Leverage AI tools to automate analysis, optimize workflows, and improve productivity
Contribute to and lead performance engineering best practices

Strong background in software development with a focus on performance optimization
Proficiency in one or more programming languages: C# and Python
Strong experience with ASP.NET / .NET application performance tuning and diagnostics
Experience with scripting and automation: Python, JavaScript
Deep hands-on experience with profiling and debugging tools, such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, Fiddler
Strong experience with code-level profiling and optimization techniques
Hands-on experience with database performance tuning: MS SQL, MongoDB
Proven ability to analyze and optimize code for quality, efficiency, and performance
Proven ability to diagnose complex performance issues in distributed systems
Solid understanding of Microservices and distributed system design
Solid understanding of API performance and service interactions
Experience with observability and performance monitoring tools, such as: AppDynamics, OpenTelemetry, DBA Dash, Datadog, Prometheus, Grafana
Experience working with engineering workflows and tracking systems such as Jira
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact
Strong collaboration and communication skills, with the ability to influence technical decisions

Experience with performance testing tools (e.g., JMeter, Gatling, k6, LoadRunner)
Familiarity with CI/CD pipelines and integrating performance validation into workflows
Experience with containerization and orchestration (Docker, Kubernetes)
Experience with advanced profiling techniques (e.g., flame graphs, heap analysis, thread dumps)
Background in cloud cost optimization and efficiency engineering
Experience with non-functional requirement (NFR) gathering and performance test planning

Skills