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Kpler is a global intelligence platform serving the commodities, energy, and maritime sectors. Founded in 2014, the company employs over 850 experts across 69 countries, transforming complex trade data into actionable insights for clients worldwide.
As a Senior Fullstack Engineer, you will drive architectural modernization and platform excellence across Kpler's product ecosystem. Your responsibilities include:
**Key Responsibilities:**
- Unify multi-platform user experience by leading the migration of flagship applications onto Atlas, Kpler's component library and shared Tailwind-based design system built in Vue 3 and React.
- Build platform-level microservices: design and scale Backend-for-Frontend (BFF) layers and microservices powering maps, search, user dashboards, and preferences across web and mobile platforms.
- Elevate developer experience by empowering approximately 20 feature teams through modernizing monorepo tooling, CI automation, migration pathways, and frontend architectural conventions.
- Pioneer AI-first engineering by integrating advanced AI development tools like Cursor and Claude Code across the engineering lifecycle to optimize workflows and boost technical velocity.
- Champion architectural excellence by architecting resilient, decoupled systems leveraging hexagonal architecture, Domain-Driven Design (DDD), event-driven patterns, and micro-frontends.
- Mentor and elevate engineering craft by guiding team members through technical documentation, code reviews, frontend chapter presentations, and biweekly developer sessions.
**Requirements:**
Must-haves:
- Senior fullstack engineering experience with a proven track record of architecting, building, and operating production web applications and microservices at scale.
- Core technical stack proficiency: mastery of TypeScript across the stack, modern frontend frameworks (Vue 3, React), and backend services using Node.js.
- Platform & API architecture expertise: deep experience with REST/GraphQL APIs, microservices, Backend-for-Frontend (BFF) patterns, and data persistence (PostgreSQL, Elasticsearch, Kafka).
- Pragmatic delivery & platform mindset: eagerness to balance high architectural quality with rapid, iterative product delivery that enables both end-users and developer teams.
- AI-assisted engineering approach: active hands-on experience utilizing AI development tools (e.g., Cursor, Claude Code) to accelerate daily engineering workflows.
Nice-to-haves:
- Specialized web technologies: experience with Mapbox, GraphQL schema federation, Python, or Scala.
- Advanced architecture & tooling: practical experience with monorepos, micro-frontends, hexagonal architecture, or Domain-Driven Design (DDD).
- Design system maintenance: experience maintaining or contributing to shared component libraries and design systems utilized across multiple teams.
