Teams at Wizeline

Design, build, and maintain scalable, low-latency backend services using Node.js and AWS (EC2, Lambda). Implement event-driven architectures with SQS/SNS, use DynamoDB for high-performance data, develop RESTful APIs, monitor and optimize performance, and participate in code reviews and cross-functional collaboration.

Lead end-to-end implementation of an infrastructure monitoring/observability platform across hybrid environments. Coordinate infrastructure, operations, security, development teams and vendors; manage timeline, budget, risks, compliance for regulated financial environments; ensure documentation, training, and transition to operations; maintain stakeholder communication.

The Data Scientist will design and validate causal models, implement methodologies for causation, and conduct RCTs while analyzing complex data and presenting findings to non-technical audiences.