About this Role:
We are looking for a Staff Engineer with deep technical experience and a track record of leading complex engineering initiatives. At Science Exchange, you will help architect and scale a platform that accelerates scientific research. We are seeking an engineer who can operate at a high technical level while also raising the bar for the rest of the team, including our adoption of AI assisted development practices. Our platform is built using a combination of Salesforce and AWS, and this role will play a key part in shaping how both are used going forward.
About You:
The ideal candidate is a seasoned engineer who thinks in systems, not just tickets. You have led architectural decisions, mentored other engineers, and are comfortable being the person a team turns to when a hard problem needs solving. You have hands-on experience using AI tools in your own engineering workflow, whether that is AI-assisted coding, code review, testing, or documentation, and you are excited to teach those practices to others. You communicate clearly with both technical and non-technical partners, and you take ownership of outcomes, not just output.
Responsibilities:
Lead the full development lifecycle from technical design through development, testing, and deployment, ensuring alignment with long term architectural goals
Translate designs and prototypes into robust, scalable code, using both out-of-the-box platform features and custom development where needed
Champion the adoption of AI-assisted engineering practices across the team, including evaluating tools, establishing best practices, and running internal training sessions
Break down complex, ambiguous work into clear, estimable pieces and lead team-level estimation
Identify and resolve difficult bugs and performance issues, and provide guidance on debugging, optimization, and security
Provide thoughtful, constructive feedback in code reviews to raise the quality bar across the codebase
Communicate technical concepts, tradeoffs, and recommendations clearly across engineering, product, and business partners
Qualifications & Requirements:
8 or more 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
This role is a great opportunity for a senior engineer looking to shape not just our platform, but how our whole engineering team builds with AI, while contributing to an impactful mission in the life sciences industry.
Compensation:
The US-based salary range for this full-time position is $200,000 to $220,000. Our salary ranges are determined by role and seniority level. Within the range, individual pay is determined by additional factors including job-related skills, experience, and relevant education and/or training. We also offer incentive compensation and health, dental, and vision benefits for all US-based roles.
Ready to Join Us?
Science Exchange is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.