A global management and technology consultancy seeks a skilled Data/AI DevSecOps Engineer to design, implement, and maintain secure and scalable data and AI platforms. Responsibilities include deploying solutions on AWS, optimizing CI/CD pipelines, managing containerized applications, and ensuring compliance and security standards. The ideal candidate has 5+ years in cloud engineering and strong expertise in AWS and Kubernetes. This position offers an opportunity to work in a collaborative environment and drive innovation in financial services.
Qualifications
5+ years in DevOps, DevSecOps, Cloud Engineering, or Data/AI platform development.
Strong AWS expertise; Azure experience is a plus.
Hands-on experience with Databricks, Kubernetes, CI/CD pipelines, GitOps, and containerized deployments.
Responsibilities
Design, deploy, and maintain data and AI solutions, ensuring performance and security.
Build and optimize CI/CD pipelines and automated deployments for cloud workloads.
Implement infrastructure as code (Terraform, Ansible) and manage containerized applications.
Skills
AWS expertise
Kubernetes
CI/CD pipelines
GitOps
Terraform
Ansible
Python
Bash
PowerShell
Databricks
Tools
Datadog
CloudWatch
Job description
A global management and technology consultancy seeks a skilled Data/AI DevSecOps Engineer to design, implement, and maintain secure and scalable data and AI platforms. Responsibilities include deploying solutions on AWS, optimizing CI/CD pipelines, managing containerized applications, and ensuring compliance and security standards. The ideal candidate has 5+ years in cloud engineering and strong expertise in AWS and Kubernetes. This position offers an opportunity to work in a collaborative environment and drive innovation in financial services.