Senior Full Stack Engineer

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
Key Responsibilities
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Design, build, and deploy robust full-stack applications utilizing TypeScript, modern frontend frameworks (Vue/React), and Python (FastAPI).
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Architect high-performance REST and GraphQL APIs backed by optimized relational (SQL) and non-relational (NoSQL) databases.
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Drive operational excellence across cloud infrastructure (AWS) by maintaining CI/CD pipelines, containerized deployments (Docker), and proactive observability.
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Champion modern software engineering practices, including code reviews, automated testing, and integrating AI dev tools (e.g., Cursor, Claude Code) to enhance velocity.
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Collaborate closely with Product, Data Engineering, and SRE teams to translate complex maritime domain needs into scalable technical solutions.
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Monitor system SLAs—focusing on throughput, API latency, and uptime—to ensure seamless data delivery to end-users.
Experience & Background
What you'll need (Must-haves)
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5+ years of professional software development experience building production-grade full-stack systems.
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Strong expertise in frontend development using TypeScript and Vue.js or React.
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Hands-on proficiency in backend development with Python (FastAPI or similar frameworks) and API design (REST/GraphQL).
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Proven track record working with cloud platforms (AWS), Docker, and continuous integration/continuous delivery (CI/CD) pipelines.
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Demonstrated experience optimizing database performance across SQL and NoSQL environments.
Nice-to-haves
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Experience using modern AI-assisted software development tools to accelerate workflow and output quality.
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Prior exposure to streaming architectures, message brokers (Kafka), or large-scale data processing pipelines.
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Domain knowledge in maritime, supply chain, or global commodities logistics.