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Salary: USD 200,000 - 220,000 / annual
Science Exchange is seeking a Staff Engineer to help architect and scale a platform that accelerates scientific research. This is a high-impact technical leadership role where you will operate at a senior level while raising the bar for the entire engineering team, particularly around AI-assisted development practices.
You will lead the full development lifecycle from technical design through deployment, ensuring alignment with long-term architectural goals. The platform is built on Salesforce and AWS, and you will play a key role in shaping how both are used going forward. Key responsibilities include translating designs into robust, scalable code; championing AI-assisted engineering practices across the team; breaking down complex work into clear, estimable pieces; identifying and resolving difficult bugs and performance issues; providing thoughtful code review feedback; and communicating technical concepts clearly to engineering, product, and business partners.
You will mentor other engineers, lead architectural decisions, and drive adoption of best practices. This role requires someone who thinks in systems, takes ownership of outcomes, and is comfortable being the person the team turns to when hard problems need solving. You will evaluate AI tools, establish best practices, and run internal training sessions to help the team adopt AI-assisted workflows.
The ideal candidate is a seasoned engineer with a track record of leading complex engineering initiatives and mentoring others. You have hands-on experience using AI tools in your own workflow—whether AI-assisted coding, code review, testing, or documentation—and are excited to teach those practices to others. You communicate clearly across technical and non-technical partners and thrive in a fast-paced, mission-driven environment in the life sciences industry.
Qualifications & Requirements:
- 8+ years of professional experience building and scaling web applications, with demonstrated experience operating at a Staff or senior technical leadership level
- B.S. in Computer Science or equivalent experience
- Strong, hands-on experience with AI-assisted development tools and workflows, and demonstrated ability to train or mentor other engineers on their use
- Deep expertise with React, TypeScript, and Node.js
- Strong experience with AWS services such as Lambda, DynamoDB, and API Gateway; experience with infrastructure as code tools such as AWS CDK, SST, or Pulumi is a plus
- Experience with Salesforce development, including Apex, SOQL, and the LWC framework, is a plus
- Demonstrated ability to lead technical design discussions and drive architectural decisions across a team
- Proven track record mentoring engineers and improving team-level engineering practices and processes
- Strong understanding of object-oriented design, agile development, and remote collaboration tools such as Jira, Confluence, and GitHub
- Excellent written and verbal communication skills, with the ability to work effectively across multiple time zones
- Detail-oriented, with the ability to manage multiple priorities in a fast-paced environment
