Fullstack Engineer

Team: Engineering Maritime & Logistic

Location: Greece

Commitment: Full-time

Workplace Type: hybrid

About the Role

As a Full Stack Engineer at Kpler, you will play a central role in designing, building, and operating responsive web applications and backend APIs that deliver real-time trade intelligence to global market leaders. Working across frontend user interfaces and microservice architectures, you will turn complex datasets into intuitive, high-impact features. Your contributions will directly enhance how clients interact with critical maritime analytics, driving 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.

Experience & Background

What you'll need (Must-haves)

• 3+ years of professional full-stack software development experience building and maintaining production web applications.

• Working knowledge of Typescript/Javascript, Vue, React and familiarity with micro front end architectures.

• 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.