Software Engineer

Writing software is your hobby. You want to team up with great people because that’s the best way to grow and learn. You want your work to make a positive impact in the world. You love the idea that your code can help combat global crime. Is this you? Then you will fit well in our team.

We are building cutting-edge solutions to create a safer world and stop money from ending up in the hands of criminals. Your work will allow our clients to identify and understand criminal, financial, and political risks, updating dynamically as new data becomes available from various sources (sanctions, watchlists, corporate registries, media, …).

As a Software Engineer, you will:

• Design and build distributed data pipelines and the system around our Knowledge Graph to build and improve our next-generation anti-money laundering solution
• Work with our product manager(s) to understand and contribute to our goals, find a solution to reach them and prioritise accordingly
• Engage in the full product lifecycle, including ideation, design, and deployment and get code from initial requirements to deployed services in production (with help of our SRE teams)
• Improve scalability, latency and throughput of our pipelines while keeping high standards in systems reliability and resilience
• Model data and design schemas to accommodate the needs of our Knowledge Graph and the whole data ecosystem
• Collaborate with squads and functions across the company to ensure the quality and impact of your designed solutions
• Be responsible for the quality of your code. Write tests, document, and take ownership of the systems that ensure the quality of our code
• Work with ML engineers to build and deploy new features for AI-powered components
• Actively learn, adopt best practices, identify space for improvement, contribute to our engineering culture and always strive for making us better

About you:

As a Software Engineer, you will have:

• Master degree in Computer Science, Engineering, or a related field, OR equivalent practical experience (approx 3-6 years of professional experience in relevant role)
• Advanced knowledge of one or more programming languages (ideally incl. Python)
• Experience writing production-grade applications that demonstrated their reliability and performance
• Experience with key software engineering concepts like unit tests, databases, IaC, CI/CD, …
• Experience working on the cloud (AWS/Azure/GCP) and/or using containerized infrastructure (Kubernetes/Docker)
• Experience with building data pipelines and distributed computing
• Experience working in an agile environment and pair programming
• Strong sense of ownership and accountability

Nice to haves:

• Experience working in a multi-disciplinary team of Data Scientists, ML Engineers, SREs and product managers
• Experience working with distributed computing
• Experience with a real-world production grade system(s) and its deployment
• Experience working with knowledge graphs or graph databases
• Experience with data analysis, relevant machine learning techniques and graph algorithms
• Experience with agile methodologies in software development

What’s in it for you?

• Competitive salary aligned to your skills and experience
• Equity as we want you to have a part of what we are building
• Unlimited Time Off Policy - A work-life balance and focus on our wellbeing are critical to keeping us performing at our best
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• Opportunity to work on innovative projects with smart like-minded people who are keen to share their knowledge and continuously improve
• Annual learning budget (prorated based on start date) to drive your performance and career development
• You will also get an annual budget to kit out your home office