The company is an award-winning AI-powered adverse media monitoring solution. They help organizations stay ahead of unexpected financial and reputation risks and build confident business relationships. Their clients across the Americas and Europe value our ability to deliver real-time information with unmatchable accuracy. The company's partners in key R&D projects with IVADO, an artificial intelligence research and transfer institute.
As a Lead Software Engineer, you will work closely with the co-founder and CPO and collaborate with a passionate team of data scientists, engineers, and developers. You will be exposed to advanced technologies and will have the opportunity to learn.
You will design and implement highly distributed, resilient, and cost-effective systems in the cloud. You’ll take the reins in architecting modern backend infrastructure, with a strong focus on horizontal scalability, fault tolerance, and operational efficiency using AWS-native tools and infrastructure as code.
This is more than just a coding role — we want someone who understands how to build for failure, how to automate everything, and how to ensure systems remain fast, reliable, and cost-effective at scale.
You'll drive best practices in DevOps, contribute to continuous delivery strategies, and ensure our systems can scale without sacrificing stability or budget. You’ll also collaborate with data science teams to help operationalize ML models using AWS SageMaker and production-ready MLOps workflows.
Suse
RSI
WEX
KLA
Pragmatike