Staff Fullstack Software Engineer, Core Performance
New
CanadaFull-TimeStaff
Salary204,900 - 277,200 CAD per year
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Job Details
- Experience
- 12+ years
- Required Skills
- PythonJavascriptGoReactSoftware Engineering
Requirements
- 12+ years of software engineering experience, including significant senior or staff-level technical leadership responsibilities.
- Strong hands-on experience improving performance in production consumer applications, particularly web-based systems using JavaScript and React.
- Proven expertise in performance profiling techniques, including flame graphs, traces, RUM data analysis, and root-cause debugging.
- Experience delivering measurable improvements that directly impact customer-facing performance metrics.
- Strong backend engineering experience in Python and/or Go within production-scale systems.
- Demonstrated ability to lead cross-org technical initiatives spanning multiple teams, surfaces, or platforms.
- Experience defining engineering standards, architecture decisions, and measurement frameworks at scale.
- Hands-on experience using AI tools to accelerate software engineering workflows, particularly in debugging, refactoring, or optimization tasks.
- Experience improving or scaling AI-assisted engineering productivity practices across teams.
- Excellent communication skills with a track record of influencing technical direction beyond direct reporting lines.
- Experience working on consumer-facing products with direct impact on user experience metrics.
Responsibilities
- Own and drive end-to-end performance improvements for the web application, including profiling React-based surfaces.
- Lead performance strategy across iOS, Android, and desktop by coordinating with platform engineering teams.
- Identify, analyze, and resolve performance bottlenecks across the full stack, from frontend applications to backend services in Python and Go.
- Design, build, and maintain performance measurement, telemetry, and regression detection systems.
- Translate performance insights into production-ready code changes and validate impact through real-world telemetry.
- Define engineering best practices, standards, and frameworks for performance optimization across multiple teams.
- Mentor senior engineers on profiling techniques, system design for performance, and data-driven optimization.
- Drive cross-functional alignment with engineering, product, and design leadership.
- Apply and scale AI-assisted engineering workflows to accelerate performance analysis, debugging, and optimization.
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