Platform/DevOps Engineer

Project Description:

VR-124518

• 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.
• 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.
• • 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) designing, building, automating, and supporting cloud infrastructure and deployment pipelines across the Data Science and AI/ML platform.
• • AWS
• • Strong hands-on experience with AWS services including SageMaker, Bedrock , EC2, VPC, IAM, S3, RDS and EKS,
• • 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.
• • GitLab CI/CD (or equivalent)
• • Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, 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)
• • Azure DevOps

Languages: English: C1 Advanced