Technical Lead
3 weeks ago
Key Responsibilities :
Infrastructure Management :
- Lead the design, implementation, and management of scalable and highly available infrastructure solutions.
- Oversee the deployment and management of containerized applications using Docker and Kubernetes.
Automation and Orchestration :
- Develop and maintain infrastructure automation scripts using Python and Ansible.
- Implement and manage container orchestration platforms such as Kubernetes, OpenShift, and Rancher.
DevOps Practices :
- Drive DevOps practices including continuous integration, continuous deployment, and infrastructure as code.
- Collaborate with development teams to integrate infrastructure and application deployment pipelines.
Monitoring and Optimization :
- Monitor and optimize system performance, ensuring high availability and reliability of infrastructure.
- Troubleshoot and resolve infrastructure issues in a timely manner.
Collaboration and Leadership :
- Provide technical leadership and mentorship to team members.
- Collaborate with cross-functional teams to ensure alignment with project requirements and timelines.
Requirements :
Technical Skills :
- Proficiency in Python scripting for automation and infrastructure management.
- Hands-on experience with Ansible for configuration management and automation.
- In-depth knowledge of Docker for containerization and Kubernetes for orchestration.
- Experience with Redhat OpenShift, VMWare, Rancher, and Mesos is highly desirable.
DevOps Expertise :
- Strong understanding of DevOps principles and practices.
- Experience with container/microservice orchestration and automation tools.
Experience :
- 5-8 years of experience in infrastructure management, DevOps, and automation.
- Proven track record of leading infrastructure projects and implementing scalable solutions.
Soft Skills :
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities.
- Ability to work in a fast-paced, dynamic environment.
Education :
- Bachelor's degree in Computer Science, Engineering, or a related field
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