Full Stack Engineer
Intelligems
midpermanentfullstack Denver, CO Today via LinkedIn
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TypeScriptReactNode.jsAWS LambdaServerlessReduxMaterial UIReact QueryA/B TestingCustomer Empathy
About the role
Role: Full Stack Engineer
Build and scale Intelligems’ profit growth platform used by thousands of e-commerce brands.
What you’ll do
- Contribute from day one across multiple parts of the stack (core experimentation capabilities, integrations, and user-flow improvements).
- Own meaningful features through ideation to delivery, working in a small, lean engineering team.
- Tackle increasingly complex and ambiguous problems, refining implementation details across:
- Schema and API design
- UI polish
- Work closely with non-technical teams (e.g., sales, support, success) due to the small team size.
- Learn quickly via "learning by doing", building deep codebase knowledge while delivering customer impact.
Tech stack (used in the role)
- TypeScript monorepo
- Frontend: React (Redux, Material UI, React Query), hosted on AWS S3/CloudFront
- Backend: Serverless Node.js on AWS Lambda (managed by SST), with MySQL
- Additional systems: SQS, DynamoDB, Dockerized Lambdas, client-side TypeScript “plugins”
- Analytics: AWS EventBridge, Kinesis, Flink, Kafka, ClickHouse
Requirements
- Experience owning product and feature development from ideation through delivery.
- Ability to manage many moving pieces and hold substantial context.
- Comfort with exploration, learning, and experimentation.
- Deep expertise in areas that will help the team level up.
- Strong customer empathy and a focus on customer success.
- Collaborative team player who can also work independently.
Nice to have / additional fit signals
- Curiosity to learn and willingness to try different approaches.
- Interest in shaping the future of e-commerce.
About Intelligems
Intelligems is a profit growth platform for e-commerce merchants. It helps brands uncover and improve profitability using A/B testing and personalization, including pricing and merchandising optimization. The company applies large-scale experimentation and data-driven tools to enable lean teams to make better decisions.
Scraped 4/7/2026