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Kpler is a global intelligence platform founded in 2014 that simplifies complex trade data across commodities, energy, and maritime sectors. With over 850 experts across 69 countries, the company transforms intricate market information into actionable insights for enterprise clients.
In this Fullstack Engineer role, you will build, scale, and maintain modern web applications serving real-time global trade data to thousands of users. You'll own feature delivery end-to-end—from technical scoping and data modeling through deployment, monitoring, and production support. Your work will span frontend development using TypeScript with Vue or React, backend microservices using Python (FastAPI) or Node.js, and cloud infrastructure on AWS with Docker and CI/CD pipelines.
Key responsibilities include:
- Building and scaling production web applications with TypeScript, Vue/React, and Python (FastAPI)
- Designing high-performance REST and GraphQL APIs for real-time data streaming
- Owning features from conception to production, including monitoring and support
- Maintaining software quality, observability, and reliability using AWS, Docker, CI/CD, and Datadog
- Integrating AI-assisted engineering workflows (Cursor, Copilot, Claude) to accelerate development
- Collaborating cross-functionally with Product, Design, Data Science, and Engineering teams
You'll work in a dynamic environment where the company values decisive action, collaborative problem-solving, and customer-centric innovation. The team is distributed globally but operates with strong internal communication and support.
REQUIREMENTS:
Must-haves:
- 3+ years of professional full-stack software development experience building and maintaining production web applications
- Solid proficiency in frontend engineering using TypeScript and frameworks such as Vue or React
- Demonstrated hands-on experience building backend microservices and APIs with Python (FastAPI) or Node.js
- Practical experience working with cloud infrastructure (AWS), containerization (Docker), and automated CI/CD pipelines
- Strong fundamentals in relational or NoSQL database design, API design patterns, and automated testing practices
Nice-to-haves:
- 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
