Performance Engineer Sr

Skip to Content Sign In Performance Engineer Sr Req #23671 United States Apply Share Job Description Posted Thursday, April 9, 2026 at 9:00 PM | Expires Wednesday, June 10, 2026 at 8:59 PM Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the Opportunity We are seeking a Senior Performance Engineer with a strong software engineering background and deep expertise in profiling, debugging, and optimizing application performance at scale. This is a developer-first role focused on improving system efficiency through code-level analysis, architectural insights, and data-driven optimization. You will work closely with engineering teams to identify performance bottlenecks, optimize execution paths, and ensure our platforms are highly scalable, reliable, and cost-efficient. What you'll get to do Profile, analyze, and optimize application code to improve: Execution efficiency CPU, memory, and I/O utilization Latency and throughput Conduct deep-dive investigations into performance issues using tools such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, Fiddler, and observability platforms Identify and resolve performance bottlenecks at the code, database, and system level, leveraging profiling data, logs, and telemetry Analyze and optimize: C# / ASP.NET application performance (threading, async patterns, memory usage, GC behavior) Database queries and execution plans (MS SQL, MongoDB) Network calls and API behavior Collaborate with developers and architects to: Embed performance considerations into system design Influence architectural decisions for scalability and efficiency Drive performance-focused code reviews Optimize enterprise SaaS applications across: Multi-tier web architectures Microservices-based distributed systems Design and execute capacity and scalability experiments to guide system sizing and cost optimization Build and enhance tools to monitor, analyze, and visualize performance metrics in cloud environments Analyze performance data and provide clear, actionable recommendations to engineering and product stakeholders Leverage AI tools to automate analysis, optimize workflows, and improve engineering productivity Contribute to and lead performance engineering best practices across teams Skills and experience we value 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 (query optimization, indexing, execution plans) Proven ability to: Analyze and optimize code for quality, efficiency, and performance Diagnose complex performance issues in distributed systems Solid understanding of: Microservices and distributed system design 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 skill ... (truncated, view full listing at source)