> Markdown version of [/jobs/ext/4635027-staff-software-engineer-frontend-platform](https://www.wearedevelopers.com/jobs/ext/4635027-staff-software-engineer-frontend-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Frontend Platform - **Company:** Harmonic Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Applicant Tracking Systems, Big Data, Data Visualization, Fault Tolerance, Monitoring of Systems, Data Intelligence, Recommender Systems, Strategies of Testing, TypeScript, ReactJS, Front End Software Development - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_88455d633169a19309b24adfb0d6e5c2 ## About the Role * You have 7+ years building frontend applications at scale. * You have deep expertise in React, TypeScript, and modern build tooling. * You have a track record of fixing production performance issues at scale. * You have strong opinions on frontend architecture, backed by real experience shipping. * Bonus: you've worked on discovery systems, search, or recommendation systems (CRM, ATS, or similar), or anything that helps index, structure, and surface data for use. * Bonus: you have exposure to venture capital, private markets, or company intelligence data. ## Description * Reliability. Our users depend on us for critical investment decisions. When they're analyzing deals or presenting to partners, nothing can break. We need robust error handling, graceful degradation, and resilient core flows. * Performance. Large datasets currently strain our frontend. Views with thousands of rows need to render smoothly. Complex filters need to respond quickly. Data visualizations need to load without blocking the UI. * Enabling developers. Once we've nailed reliability and performance, the right infra multiplies our team's impact. Better abstractions and clearer patterns let engineers ship with confidence., * Fix core reliability issues: error boundaries, state management, data consistency. * Optimize performance: virtualization for large datasets, bundle optimization, render performance. * Build monitoring and observability to catch issues before users do. * Establish testing strategies that prevent regressions. * Create abstractions and patterns that help engineers ship faster without breaking things. * Drive technical decisions and mentor the team through complex migrations.