SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Kpler is a global analytics platform founded in 2014 that simplifies complex trade information for clients in commodities, energy, and maritime sectors. With over 850 experts across 69 countries, the company transforms intricate data into actionable intelligence.
As a Fullstack Engineer, you will design, build, and operate responsive web applications and backend APIs that deliver real-time trade intelligence to global market leaders. You will work across frontend user interfaces and microservice architectures, turning complex datasets into intuitive, high-impact features that enhance how clients interact with critical maritime analytics and drive data-driven decisions across global supply chains.
Key Responsibilities:
- Build, scale, and maintain modern web applications using TypeScript with modern frontend frameworks (Vue, React) and Python (FastAPI)
- Design and implement high-performance REST and GraphQL APIs that efficiently stream real-time global trade data
- Own feature delivery end-to-end, from early technical scoping and data modeling to deployment, monitoring, and production support
- Maintain software quality, observability, and system reliability across cloud infrastructure on AWS using Docker, CI/CD, and Datadog
- Integrate modern AI-assisted engineering workflows (e.g., Cursor, Copilot, Claude) to accelerate feature development and streamline code maintenance
- Collaborate cross-functionally with Product Managers, Designers, Data Scientists, and peer Engineers to translate product vision into scalable software
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
