Senior AWS Cloud DevOps Engineer

We are looking for a seasoned Senior AWS Cloud DevOps Engineer to join our team. As a Senior AWS Cloud DevOps Engineer, you will be responsible for implementing and optimizing cloud infrastructure, managing cloud migrations, and ensuring effective collaboration with development teams. You will drive automation, improve software delivery processes, and ensure the scalability and security of cloud environments. Your role will be critical in enhancing the DevOps processes and cloud architecture, promoting continuous improvement across AWS cloud environments. Join a new project for a leading global financial market infrastructure provider and contribute to the development of business-critical platforms used across international markets, and be a part of a global delivery team. Responsibilities Develop and manage CI/CD processes for various applications and automate as many workflows as possible to improve efficiency Migrate workloads to AWS Cloud, ensuring seamless transitions while optimizing cost and performance Build and maintain AWS cloud environments for customers, ensuring they are secure, scalable and high-performing Propose enhancements for Infrastructure-as-Code (IaC) practices Provide support for development teams on CI/CD pipelines and Infrastructure as Code (IaC) practices Set up cloud monitoring and optimize infrastructure for cost and performance, ensuring high availability and efficient resource usage Oversee the full release process, ensuring smooth deployments and continuous delivery of cloud-based applications Proactively identify areas for improvement, drive automation and contribute to architectural decisions Requirements 5+ years of experience in configuring, maintaining and troubleshooting AWS-based production systems Hands-on experience with AWS services like EC2, S3, Lambda, RDS, ECS, EKS, VPC, CloudFormation and IAM Strong knowledge of AWS networking services: VPC, Route 53, Direct Connect, Load Balancer, API Gateway, Security Groups and more Practical experience with Kubernetes (EKS) and container orchestration in AWS Solid understanding of monitoring tools (e.g., CloudWatch, Datadog, Prometheus) and setting up performance alerts and optimization Experience with Infrastructure-as-Code tools like Terraform or AWS CloudFormation Proven ability to implement CI/CD practices using tools like GitHub Actions, Jenkins or AWS CodePipeline Knowledge of cloud security best practices such as IAM, encryption and secure access control Experience with scripting languages (e.g., Python, Bash or Shell) to automate and improve cloud operations Familiarity with AWS Cost Management tools and cost optimization strategies Excellent communication skills and experience collaborating with cross-functional teams, ensuring successful deployments and alignment with business needs English proficiency at B2 level or higher Nice to have Python/Go knowledge Native AI cloud services: AWS Bedrock, Google Vertex AI, Azure AI Experience designing, building, and operating AI agents and agentic frameworks Coding Agents: Claude Code, OpenCode, Cursor, Trae, Antigravity