About this role
Project description
Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.The Markets and Corporate Engineering Divisions in our Client's company has embarked on a Data Science and AI/ML Transformation Program. The objective is to establish a new, centralized, and secure cloud-native platform Data Science and AI/ML on AWS to support modern application and infrastructure delivery. The operating model is a federated model with Core Engineering teams based in London/Bucharest/Bangalore and Engineers embedded within each Business division to drive adoption, automation, and platform engineering best practices.
Responsibilities
- As a Senior DevOps Engineer , you will play a key role in designing, building, automating, and supporting cloud infrastructure and deployment pipelines across the Data Science and AI/ML platform. Design, implement, and manage highly available, secure, and scalable AWS infrastructure using Infrastructure as Code (IaC). Build, manage, and optimize CI/CD pipelines using GitLab (or equivalent tools) to enable automated application deployment. Deploy, configure, and maintain containerized applications using Docker and Kubernetes. Automate operational tasks, deployments, monitoring, and infrastructure prov