Full Stack Engineer CMS Magnolia Veeva AWS AI Pharmaceutical
Job in
Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listed on 2026-10-15
Listing for:
Viper Search
Full Time
position Listed on 2026-10-15
Job specializations:
-
Software Development
Full Stack Developer, React.js, AI Engineer (Applied/Software), Backend Developer
Job Description & How to Apply Below
platforms and AI tools for pharma and life sciences brands, with teams in the US, Europe, the Philippines and New Zealand.
You will join a project team as a senior engineer and grow into its technical lead: owning the
roadmap and the solution, setting the architecture, guiding the developers, and owning delivery
and success. As you grow, you'll take on technical direction across different client projects, from
enterprise CMS platforms to web apps and AI builds for pharma and life sciences brands. You'll
stay hands-on in the code throughout.
- Own outcomes, not just code: architecture, quality, delivery, and whether it actually solves the client's problem.
- Own the roadmap and solution design: decide with the client and our team what gets built, in what order, and why
- Mentor developers and review their work
- Build with Type Script, Node.js and React across APIs, integrations and web apps
- Integrate with enterprise systems, including content management systems (Magnolia) and
- Design and run services on AWS
- Build AI-first: use agents like Claude Code to do the heavy lifting, and review their output as carefully as a teammate.
- Turn client and product needs into technical plans and working demos
- Own production support: monitoring, incident response and root-cause fixes
- Work directly with clients and internal stakeholders, in plain language
- 5+ years of full-stack development, including leading technical work on a project or mentoring other developers
- Strong Type Script and Node.js
- React or a comparable modern front-end framework
- Hands-on AWS (Lambda, API Gateway, S3, RDS or similar)
- Relational databases (PostgreSQL or MySQL)
- REST API design, CI/CD and security best practices
- Real experience building with AI: coding assistants in your daily workflow, and ideally LLM features in production (prompting, context engineering, RAG or agents)
- Experience in a regulated industry (pharma, healthcare, finance)
- Enterprise CMS experience (Magnolia, Sitecore, AEM or similar)
- Infrastructure as code (Terraform, Cloud Formation) and Docker
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