Staff Application Engineer

Socket.dev; Bellevue (WA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Discretionary annual performance bonus

401(k) matching contribution

Comprehensive healthcare coverage

Job summary

Socket.dev seeks a Staff Application Engineer to lead frontend and application architecture for its decision-intelligence platform. You will bridge Application Engineering, Product, Design, Science, and Customer Success to translate sophisticated data science into intuitive enterprise software.

You will architect, build, and maintain production web applications with React and TypeScript, define API contracts, and establish reusable frontend frameworks for scalable capabilities across clients.

Qualifications

• Proven experience building production applications at a Staff level or equivalent depth.
• Deep expertise with modern web tech stacks: React, TypeScript, JavaScript, HTML, CSS.
• Strong fundamentals in APIs, testing, performance, observability, and production reliability.
• Experience building data-intensive, analytical, or enterprise applications handling large datasets.
• Strong product intuition and UX judgment; able to turn complex requirements into fluid workflows.
• Familiarity with enterprise concerns including auth, permissions, security, and multi-tenant isolation.
• Excellent technical communication, leadership, and mentorship in dynamic startup environments.

Responsibilities

• Architect, build, and maintain production web applications using React and TypeScript; define API contracts and system interfaces.
• Transform statistical forecasts, optimization models, simulation outputs, and uncertainty modeling into intuitive product features.
• Establish modular frontend libraries and application frameworks to enable rapid, scalable capabilities.
• Uphold performance, accessibility, security, and data governance for large enterprise datasets.
• Partner with product, design, engineering, and clients; mentor engineers and set architectural best practices.

Skills

React

TypeScript

JavaScript

HTML/CSS

APIs

Testing

Performance

Security

Tools

Frontend frameworks

Job description

About the role

We are seeking a Staff Application Engineer to lead the frontend and application architecture for our decision-intelligence platform. In this end-to-end builder role, you will bridge Application Engineering, Product, Design, Science, and Customer Success to translate sophisticated data science and operations research into intuitive enterprise software.

What you'll do

Key Responsibilities

• Application & Systems Architecture: Architect, build, and maintain production web applications using React and TypeScript. Define API contracts and system interfaces to deliver data-intensive science as a cohesive enterprise platform.
• Science to Product Integration: Transform statistical forecasts, optimization models, simulation outputs, uncertainty modeling, and scenario trade-offs into actionable, intuitive product features.
• Platform Frameworks: Establish modular, reusable frontend component libraries and application frameworks enabling scientific teams to launch new capabilities rapidly and scalably.
• Quality, Security & Scale: Uphold high standards for performance, accessibility, security, and data governance when handling large, complex enterprise datasets.
• Cross-Functional Leadership: Partner with product, design, engineering, and clients to turn bespoke implementations into core product features. Mentor engineers and establish architectural best practices.

Basic Qualifications

• Proven experience building sophisticated production applications at a Staff level or equivalent depth.
• Deep expertise in modern web tech stacks (React, TypeScript, JavaScript, HTML, CSS) and state management.
• Solid software engineering fundamentals across APIs, testing, performance, observability, and production reliability.
• Experience building data-intensive, analytical, scientific, or enterprise applications handling large datasets.
• Strong product intuition, UX/interaction design judgment, and ability to shape ambiguous requirements into fluid workflows.
• Familiarity with enterprise concerns including auth, permissions, security, and customer isolation.
• Excellent technical communication, leadership, and mentorship capabilities in dynamic startup environments.

Preferred Qualifications

• Experience with ML, forecasting, optimization, simulation, or decision science workflows.
• Proficiency with data visualization tech (D3, SVG, Canvas, WebGL, Vega, Observable Plot).
• Background in supply chain, manufacturing, logistics, or operations research domains.
• Experience in Forward Deployment or client-embedded engineering environments.

Benefits

Benefits: Discretionary annual performance bonus, 401(k) matching contribution, and comprehensive healthcare coverage.