Staff Engineer, AI-Driven Platform & Cloud Architecture

Science Exchange, Inc.; San Francisco (CA); On-site; USD 200,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Dental benefits

Vision benefits

Job summary

Science Exchange is seeking a Staff Engineer to architect and scale a platform that accelerates scientific research. You will lead architectural decisions, mentor engineers, and advance AI-assisted development practices across a Salesforce-AWS powered stack.

You will drive design discussions, mentor teams, and own outcomes, shaping how AI is integrated into engineering workflows while delivering impact in the life sciences space.

Qualifications

• 8+ years of professional experience building and scaling web applications.
• BS in Computer Science or equivalent experience.
• Hands-on experience with AI-assisted development tools and mentoring other engineers.
• Deep expertise with React, TypeScript, and Node.js.
• Experience with AWS services and Salesforce is a plus.

Responsibilities

• Lead the full development lifecycle from design through deployment.
• Translate designs into robust, scalable code using platform features and custom development.
• Promote AI-assisted engineering practices across the team via tools and trainings.
• Break down complex work into estimable tasks and lead team estimation.
• Identify and resolve difficult bugs and performance issues; guide debugging and security.
• Provide constructive feedback in code reviews to raise quality.
• Communicate technical tradeoffs clearly to engineering, product, and business partners.

Skills

Staff level leadership

React

TypeScript

Node.js

AI-assisted development

Mentoring engineers

Communication across time zones

Education

BS in Computer Science

Tools

AWS

Salesforce

Jira

Confluence

GitHub

AWS CDK/Pulumi/SST

Job description

Science Exchange is seeking a Staff Engineer to architect and scale a platform that accelerates scientific research. You will lead architectural decisions, mentor engineers, and advance AI-assisted development practices across a Salesforce-AWS powered stack.

You will drive design discussions, mentor teams, and own outcomes, shaping how AI is integrated into engineering workflows while delivering impact in the life sciences space.