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Ελλάς
Onsite
As a Senior Full Stack Engineer in our Maritime & Logistics division, you will drive the design, development, and scaling of end-to-end web applications and backend APIs that power real-time global trade intelligence. You will take technical ownership of high-impact features—from sleek frontend user interfaces to resilient microservices handling complex datasets. Working with modern stack tooling and AI-assisted workflows, your contribution will ensure our clients receive fast, accurate, and actionable maritime insights across global supply chains.
Design, build, and deploy robust full-stack applications utilizing TypeScript, modern frontend frameworks (Vue/React), and Python (FastAPI).
Architect high-performance REST and GraphQL APIs backed by optimized relational (SQL) and non-relational (NoSQL) databases.
Drive operational excellence across cloud infrastructure (AWS) by maintaining CI/CD pipelines, containerized deployments (Docker), and proactive observability.
Champion modern software engineering practices, including code reviews, automated testing, and integrating AI dev tools (e.g., Cursor, Claude Code) to enhance velocity.
Collaborate closely with Product, Data Engineering, and SRE teams to translate complex maritime domain needs into scalable technical solutions.
Monitor system SLAs—focusing on throughput, API latency, and uptime—to ensure seamless data delivery to end-users.
5+ years of professional software development experience building production-grade full-stack systems.
Strong expertise in frontend development using TypeScript and Vue.js or React.
Hands-on proficiency in backend development with Python (FastAPI or similar frameworks) and API design (REST/GraphQL).
Proven track record working with cloud platforms (AWS), Docker, and continuous integration/continuous delivery (CI/CD) pipelines.
Demonstrated experience optimizing database performance across SQL and NoSQL environments.
Experience using modern AI-assisted software development tools to accelerate workflow and output quality.
Prior exposure to streaming architectures, message brokers (Kafka), or large-scale data processing pipelines.
Domain knowledge in maritime, supply chain, or global commodities logistics.
