Staff Engineer, AI & Platform Engineering
About The Position
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. 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.
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
Nice To Haves
- 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
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
Benefits
- health, dental, and vision benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
