Senior Research Engineer

Some of the exciting projects you will work on include:

• Driving the design, rapid experimentation, development, testing and deployment of software solutions for maritime event detection and data fusion;
• Optimising implementations to run in near real-time steaming mode and overseeing the continuous monitoring of deployed services;
• Extracting insights, patterns, and statistics from historical maritime data to be used in streaming services and to be distributed to other teams in the company;

As a senior research engineer, you will:

• Devise efficient solutions to tackle concurrent & distributed programming challenges while working with spatial / GIS data using relevant, up-to-date methods and technologies.
• Work across the stack to deliver new features end-to-end, from prototyping, to deployment and monitoring services in production.
• Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits.
• Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company.
• Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features.
• Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration.
• Act as a mentor for our junior software engineers, helping to accelerate their growth; you will act as the Tech Lead on some projects.

Our Machine Learning tech stack includes:

• Scala, Python, Big Data frameworks (Pekko / Akka, Spark, Flink), geospatial libraries (JTS, H3, GeographicLib, etc.), JSON libraries (Jackson), data science libraries (TensorFlow, LightGBM).
• AWS, Kubernetes, Apache Kafka, PostgreSQL, Redis

Mandatory requirements:

• You have at least 5 years of experience in a software engineer role, deploying solutions into production;
• You have proven experience delivering end-to-end software solutions that produce business value.
• You are proficient in Scala (or Java and willing to switch to Scala).
• You have expert knowledge of at least one cloud computing platform (preferably AWS).
• You are fluent in English.
• You have expertise in distributed architectures

Nice to haves but not mandatory:

• You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable).
• You have proven experience with big data technologies, specifically Spark and Kafka.
• You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering...).
• You are familiar with the shipping industry and commodity trading.
• You are comfortable with software engineering best practices.
• You value code simplicity, performance and attention to detail.
• You have experience working in an international environment.