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A mid-level Full-Stack Engineer (60% front-end, 40% back-end) builds UI/UX and product features using Svelte/TypeScript and Go, while collaborating with the CTO on architecture and AWS-based cloud infrastructure.
Build and maintain backend services for a fintech platform that enables investment products and portfolio management.
Builds and maintains a dbt-based data platform for a car-rental startup, aligning metrics with sales and operations and running A/B tests.
You’ll run lab tests on hydrogen SOEC stacks, clean and model the resulting data in Python/SQL, and help build the department’s analytics pipeline for future AI models.
Build and scale a women’s health digital platform from scratch, coding secure APIs, data models, and Next.js frontends alongside the CTO.
Build a SaaS platform that automates regulatory compliance and green certification for energy-intensive industries using React, Node.js, and AWS.
Build and maintain a women’s health web product using Python/Django, TypeScript, and AI integrations while ensuring data security and privacy.
Builds and maintains a women’s health platform using Python/Django and TypeScript/Next.js, integrating AI and ensuring strict health-data privacy in a hybrid Barcelona role.
Build and scale the back-end of a women’s health platform using Python/Django and TypeScript, integrating AI-driven features and ensuring HIPAA-grade data security.
Build and scale a women’s health platform from the ground up using Next.js, TypeScript, Nest.js, Python/Django, and MongoDB in a healthtech startup backed by GCO Ventures and Byld.
Build and migrate backend services to a serverless AWS architecture using Node.js, NestJS, MySQL, and DynamoDB in a growing startup.
Build and evolve a secure, scalable Java backend, review code, and embed AI tools to automate workflows while collaborating with cross-functional teams.
Build and scale a serverless backend in Node.js/NestJS on AWS, migrating from hybrid to event-driven microservices while optimizing MySQL and DynamoDB data flows.
A junior AI & Data Engineer role focused on learning data engineering, ML fundamentals, and ETL pipelines under mentorship, working on Python/SQL-based projects for AI/ML initiatives.
Build and maintain scalable JavaScript/TypeScript applications using Node.js, databases like MongoDB and PostgreSQL, and cloud services, while writing and reviewing tests and collaborating in a remote-first team.
Builds and maintains full-stack web apps (frontend with React/Vue, backend with PHP/MySQL) for KonnectHub’s digital platforms, APIs, and internal tools, ensuring scalability, security, and performance while collaborating remotely with cross-functional teams.
Build and ship iOS apps for Scout Motors’ electric vehicles, using Swift/SwiftUI, GraphQL, and CI/CD pipelines to create scalable, high-performance mobile experiences.
Builds scalable Python/PostgreSQL services for an AI-driven venture-capital data platform, integrating with frontend and shaping product direction.
Build and optimize data pipelines and integrations in Python and SQL on Databricks/Azure to power AI/ML models for a proptech analytics platform.
Build and scale the core trading platform for a European short-term energy trading startup, integrating market data, weather, and trading models into robust, automated execution systems.
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