Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Fullstack Engineer (TypeScript/Python): Building and operating responsive web applications and backend APIs that deliver real-time maritime trade intelligence with an accent on frontend interfaces, microservice architectures, and high-performance data APIs. Focus on streaming global trade data, scaling AWS-based systems, and integrating observability, CI/CD, and AI-assisted engineering workflows.
Location: United Kingdom; hybrid workplace
Company
hirify.global develops real-time trade intelligence products for global market leaders, with a focus on maritime analytics and global supply chains.
What you will do
Build, scale, and maintain responsive web applications using TypeScript with Vue or React and backend services using Python with FastAPI.
Design and implement high-performance REST and GraphQL APIs that stream real-time global trade data.
Own feature delivery from technical scoping and data modeling through deployment, monitoring, and production support.
Maintain software quality, observability, and reliability across AWS cloud infrastructure using Docker, CI/CD, and Datadog.
Use AI-assisted engineering tools such as Cursor, Copilot, and Claude to accelerate development and code maintenance.
Collaborate with Product Managers, Designers, Data Scientists, and Engineers to translate product vision into scalable software.
Requirements
3+ years of professional full-stack software development experience building and maintaining production web applications.
Strong frontend engineering skills with TypeScript and Vue or React.
Hands-on experience building backend microservices and APIs with Python and FastAPI or Node.js.
Practical experience with AWS cloud infrastructure, Docker containerization, and automated CI/CD pipelines.
Strong fundamentals in relational or NoSQL database design, API design patterns, and automated testing.
Nice to have
Familiarity with AI-assisted software development tools and workflows.
Exposure to GraphQL, Datadog monitoring, or event-driven backend systems.
Interest or background in maritime logistics, energy markets, or global supply chain datasets.
Culture & Benefits
Collaborative work across Product, Design, Data Science, and Engineering.
Emphasis on making things happen, building together, and helping one another.
Hybrid workplace in the United Kingdom.
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