Devops with Python Development

Job Summary:

We are seeking a skilled DevOps Engineer to join our cloud Kubernetes team. The ideal candidate will be responsible for driving cluster builds for the platform team and will possess strong technical skills in networking, data-driven decision making, Kubernetes, coding, pipelines, and automation.

Key Responsibilities:
• Drive cluster builds for the platform team, ensuring high availability and performance.
• Implement and manage Kubernetes clusters on bare metal and cloud environments.
• Utilize data-driven decision-making to optimize and enhance system performance.
• Develop and maintain automation scripts and pipelines for deployment and operations.
• Collaborate with cross-functional teams to design and implement networking solutions.
• Manage data storage solutions, including Portworx and other data management tools.
• Ensure security and compliance across all systems and processes.
• Troubleshoot and resolve issues related to Kubernetes, networking, and data management.
 

Required Technical Skills:
• Strong technical skills in Kubernetes, including bare metal Kubernetes and Metal as a Service.
• Proficiency in networking and data management tools like Portworx.
• Experience in coding and scripting languages (e.g., Python, Go, Bash).
• In-depth knowledge of networking concepts and protocols.
• Hands-on experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI).
• Familiarity with cloud platforms (e.g., Onprem, AWS, Azure, GCP).
• Expertise in automation tools and frameworks (e.g., Ansible, Terraform).
• Ability to analyze and interpret data to make informed decisions.

Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in a DevOps or similar role.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
 

Preferred Qualifications:
• Master's degree in a related field.
• Certifications in Kubernetes, cloud platforms, or DevOps practices.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)