Senior DevOps Engineer

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 provisioning using Python and Terraform. • Collaborate with development, architecture, and platform engineering teams to improve software delivery, reliability, and operational excellence. • Support migration of applications and services to AWS cloud infrastructure. • Implement security best practices, monitoring, logging, and disaster recovery strategies across cloud environments. Mandatory Skills Description: • Strong experience in DevOps engineering (8+ years preferred) • AWS - Strong hands-on experience with AWS services including SageMaker, Bedrock , EC2, VPC, IAM, S3, RDS and EKS, • Python - 5+ years of experience developing automation scripts, deployment utilities, infrastructure tooling, and operational automation using Python. • Docker & Kubernetes - Strong experience containerizing applications using Docker. - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS). - Experience with Helm charts, Kubernetes networking, ingress controllers, autoscaling, and rolling deployments. • Terraform - 3+ years of experience provisioning and managing AWS infrastructure using Terraform. - Experience developing reusable Terraform modules and managing remote state. • GitLab CI/CD (or equivalent) - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions. - Experience implementing automated build, test, deployment, and release pipelines. Nice-to-Have Skills Description: • Hands-on experience in using AI tools (e.g. GitHub Copilot)