Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.
Requirements:
6+ years of hands-on experience in DevOps roles.
Experience with the full application release cycle and best practices.
Manage and develop CI/CD process tools.
Strong understanding of infrastructure & operations, including storage, networking, computing, and cloud security (Azure preferred).
Solid knowledge of Infrastructure as Code (IaC) tools such as Terraform.
Proficiency in Linux scripting and other programming languages.
Strong Python development skills beyond scripting.
Hands-on experience with Kubernetes and containerized environments.
Proven ability to work in a production environment, handling live system challenges such as performance, scalability, and security.
Strong debugging skills with the ability to identify and resolve complex technical issues.
Excellent self-management skills, with the ability to work independently in a dynamic environment.
6+ years of hands-on experience in DevOps roles.
Experience with the full application release cycle and best practices.
Manage and develop CI/CD process tools.
Strong understanding of infrastructure & operations, including storage, networking, computing, and cloud security (Azure preferred).
Solid knowledge of Infrastructure as Code (IaC) tools such as Terraform.
Proficiency in Linux scripting and other programming languages.
Strong Python development skills beyond scripting.
Hands-on experience with Kubernetes and containerized environments.
Proven ability to work in a production environment, handling live system challenges such as performance, scalability, and security.
Strong debugging skills with the ability to identify and resolve complex technical issues.
Excellent self-management skills, with the ability to work independently in a dynamic environment.
This position is open to all candidates.
