Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. http://www.vortexa.com/ Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models, and presenting the results through a low-latency SaaS solution used globally is a significant engineering challenge. This requires models that can withstand scrutiny from industry experts, data analysts, and traders, with performance, stability, latency, and agility that a fast-moving startup influencing multi-$m transactions demands. The Data Platform Team manages all of Vortexa’s data, from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. They also handle highly structured datasets such as price, supply-demand forecasts, and models of global energy flows and tanker fleet distributions. The team has developed procedural, statistical, and machine learning models that provide the most accurate view of energy flows. They apply cutting-edge research to real-world problems in a robust, maintainable way. Data quality is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure prediction accuracy. You will be instrumental in designing and building infrastructure and applications to support the deployment and benchmarking of data pipelines and ML models. Working with software engineers, data scientists, and market analysts, you’ll help bridge the gap between scientific research and commercial products by ensuring 100% uptime and fault-tolerance of all data pipeline components. Vortexa was founded to address the information gap in the energy industry by leveraging satellite data and AI to provide real-time insights into global oil and fuel flows, optimizing energy markets and societal resource use. You Are: Fluent in Python and familiar with scalable data processing libraries Strong in distributed systems, microservices, and scalable data pipelines Motivated by working in an intellectually engaging environment with top industry minds Excited about startup challenges, bringing new ideas to production, and pushing boundaries Experienced in building backend systems processing terabytes of data daily Passionate about coaching developers and career growth Proficient in SDLC including design, coding, review, source control, deployment, and operations Awesome If You: Have experience with Rust / Java / Kotlin Know AWS, Kafka, Spark, Flink, or Beam, especially deployment and monitoring Have productized ML research projects Are familiar with Airflow, Kubernetes, data lake systems, and file formats like Parquet, Orc, Athena Possess relevant AWS or Kafka certifications Enjoy working in a diverse, innovative environment Are motivated by collaboration, learning, and exploring new tools Value company ownership and responsible business practices Appreciate flexible working policies and employee benefits like health insurance and volunteering

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