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
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-havesExperience 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.
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