Senior Software Engineer- Python (Hiring Immediately)

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.

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 while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires.

The Data Platform Team is responsible for all of Vortexa’s data. The team’s ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions.

The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions.

You’ll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you’ll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines.Vortexa was 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 flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all.

Requirements

You Are:

• Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries
• Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines
• Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided
• Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role

• Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily

• Passionate about coaching developers, helping them improve their skills and grow their careers
• Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations

Awesome If You:

• Are experienced in Rust / Java / Kotlin
• Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark – especially deployment, monitoring & debugging
• Have experience with productisation of Machine Learning research projects
• Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes
• Understand data lake systems and file formats like Parquet, Orc, Athena
• Have some relevant AWS or Kafka certifications

Benefits

• A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge
• A team of motivated characters and top minds striving to be the best at what we do at all times
• Constantly learning and exploring new tools and technologies
• Acting as company owners (all Vortexa staff have equity options)– in a b]]>