Backend Engineer - Commodities

Team: Engineering Commodities

Location: Greece

Commitment: Full-time

Workplace Type: hybrid

About the Role

As a Software Engineer on the founding Connected Supply Chain team, you will build and run the core services extending Kpler’s real-time trade intelligence platform beyond marine coverage into North American inland supply chains. Operating on a high-autonomy "you build it, you run it" model, you will carry sensor telemetry from field hardware to paying customers through streaming ingestion pipelines, robust APIs, and user-facing features. By uniting crude pipeline remote sensors, rail, and waterway data with existing maritime tracking, your work will directly deliver a single connected view from production basin to export terminal.

Key Responsibilities

• Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow.

• Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue.

• Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete.

• Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation.

• Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption.

• Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code.

Experience & Background

What you'll need (Must-haves)

• 2 to 4 years of professional software engineering experience building and supporting production software.

• Strong proficiency with Python and relational databases (SQL / Postgres).

• Proven experience deploying, debugging, and operating backend services in cloud environments (AWS preferred).

• Hands-on exposure to message queues, streaming platforms (e.g., Kafka), and RESTful API development.

• Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code.

Nice-to-haves

• Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch.

• Prior exposure to time-series, IoT, remote sensor, or geospatial datasets.

• Domain interest in energy, commodities, or logistics supply chains.