Top Tech Jobs & Startup Jobs

Design, build, and own scalable, secure full-stack applications. Collaborate with engineers, designers, and managers to gather requirements, estimate work, maintain documentation, and deliver high-quality client-facing software using Agile practices.

Build high-quality, performant, scalable client code; estimate and report status; gather and document requirements; collaborate with designers and engineers; own technical design through launch.

Design, implement, and maintain performant, testable full-stack applications. Collaborate with designers and product managers to gather requirements, estimate work, produce documentation, and deliver scalable frontend and backend systems. Provide status reporting, follow Agile practices, and take ownership from technical design through launch.

Develop performant, testable, and scalable client-side code using Angular/React/TypeScript. Participate in requirements gathering, estimation, documentation, and Agile delivery. Collaborate with designers and engineers, own technical design through launch, and work with databases and backend systems at scale.

Lead React Native feature development and migrate JS to TypeScript. Build offline-first capabilities, integrate native iOS/Android modules, use Expo/EAS for CI/CD, design GraphQL data flows, work with Redux/RTK, review code, mentor juniors, and collaborate with cross-functional teams to deliver high-quality mobile experiences.

Design and build scalable data pipelines and models for scientific instrument data; implement custom parsers for diverse file formats; create unit/integration tests and utility libraries; analyze datasets to design shared data model components; produce visualizations, reports, and interactive dashboards.

Design and build scalable data pipelines and models to ingest and normalize laboratory instrument outputs; implement custom parsers for diverse file formats; create unit/integration tests and modular utilities; compare datasets to design shared models; and produce visualizations and dashboards using Streamlit, Tableau, and Jupyter.

Design and build scalable data models and pipelines for scientific instrument data. Implement custom file parsers, unit/integration tests, and reusable utilities. Perform dataset comparisons, create visualizations and dashboards (Streamlit, Tableau, Jupyter), and collaborate with product and engineering teams to deliver AI-enabled data solutions.

Customer-facing senior engineer who performs technical discovery, rapidly prototypes AI proofs-of-concept, embeds with client teams to deploy production-grade systems, handles complex integrations across cloud environments, documents hand-offs, and establishes scalable AI workflows and platform patterns.

Design and implement data acquisition strategies from lab instruments, build custom parsers for diverse file formats, architect scalable data models and pipelines with tests, perform comparative dataset analysis to create extensible models, and produce visualizations and dashboards (Streamlit, Tableau, Jupyter).