Staff Fullstack Software Engineer
New
USFull-TimeStaff
Salary198,600 - 335,800 USD per year
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Job Details
- Experience
- 12+ years of software engineering experience, including at least 3+ years in a senior or staff-level role.
- Required Skills
- PythonJavascriptGoReact
Requirements
- 12+ years of software engineering experience, including at least 3+ years in a senior or staff-level role.
- Strong hands-on expertise in web performance optimization, particularly in JavaScript and React applications.
- Proven experience using profiling tools such as flame graphs, traces, heat maps, and RUM telemetry to drive improvements.
- Experience building or improving production systems in Python or Go supporting user-facing applications.
- Demonstrated ability to lead cross-functional technical initiatives spanning multiple teams and platforms.
- Experience working on consumer-facing products with direct impact on user experience metrics.
- Strong communication skills with the ability to influence technical direction across organizations.
- Experience leveraging AI tools to accelerate engineering workflows and improve system performance.
Responsibilities
- Own and drive end-to-end performance improvements across consumer-facing surfaces, starting with web and expanding across mobile and desktop platforms.
- Profile and optimize high-traffic web applications, including React-based surfaces, using tools such as flame graphs, heat maps, and RUM data.
- Identify and execute high-impact performance improvements, ensuring measurable gains in user experience and system efficiency.
- Define and implement performance measurement frameworks, instrumentation, and regression detection systems across engineering teams.
- Lead cross-platform performance strategy across iOS, Android, and desktop in collaboration with platform engineering teams.
- Write and ship production code in JavaScript/React, with additional backend contributions in Python and Go.
- Establish performance engineering standards and mentor senior engineers on best practices in profiling and system optimization.
- Drive cross-functional alignment with engineering, product, and design teams to prioritize performance as a core product metric.
- Apply AI tools to accelerate debugging, optimization, and engineering workflows while scaling best practices across teams.
- Influence architectural decisions and long-term technical direction across Core Engineering.
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