
Highly Experienced DevOps Engineer for Scalable Data Processing
Há 3 dias
We are seeking a skilled Senior DevOps Engineer to lead the design and deployment of scalable Kubernetes environments for data and analytics workloads.
- Design and Deploy Scalable Environments: Lead the development and implementation of highly available, secure, and efficient data processing pipelines using Kubernetes.
- Develop Complex Data Pipelines: Design and build automated complex data pipelines using Argo Workflows.
- Migrate Source Code Repositories: Support the migration of source code repositories and CI/CD pipelines to GitLab or other Git-based platforms.
- Manage Infrastructure: Develop and manage infrastructure with Terraform and related tools.
- Bachelor's Degree: Bachelor's degree in Computer Science, Engineering, or related field.
- Production Experience: 5+ years of production experience operating and managing Kubernetes clusters.
- Certifications: Strong hands-on experience with AWS cloud services.
- Skills: Deep knowledge of Argo Workflows, Git, GitLab, and CI/CD.
- Proficiency: Experience with Terraform, SQL, and Linux-based systems administration.
- Language Skills: Upper-Intermediate English level.
- Additional Qualifications: Familiarity with data modeling, analytics/BI platforms, or DBT.
This is an exciting opportunity to join our team as a Senior DevOps Engineer. As a key member of our team, you will be responsible for designing and deploying scalable Kubernetes environments for data and analytics workloads.
As a Senior DevOps Engineer, you will have the opportunity to work on a wide range of projects and technologies, including Kubernetes, Argo Workflows, Terraform, and more.
Our ideal candidate is a highly motivated and experienced DevOps engineer who is passionate about building and delivering high-quality software solutions.
We offer competitive compensation and benefits packages, as well as opportunities for professional growth and development.
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