kpler - Fullstack Engineer
Requirements
• 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. • 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. • We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? • We make things happen • We act decisively and with purpose, going the extra mile. • We build together • We foster relationships and develop creative solutions to address market challenges. • We are here to help • We are accessible and supportive to colleagues and clients with a friendly approach. • Our People Pledge • Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
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.
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