Senior DevOps Engineer - Python / Kubernetes

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Job Overview

The Senior DevOps Engineer - Python / Kubernetes will be instrumental in enhancing our infrastructure, ensuring seamless deployment and maintenance of applications within the cloud environment. This role encompasses the design and implementation of robust CI/CD pipelines, optimizing application performance, and collaborating closely with development teams to automate processes and improve system reliability. The ideal candidate will leverage their expertise in Python and Kubernetes to drive efficiencies and innovations within our operational frameworks.

Job Responsibilities

• Design, implement, and maintain CI/CD pipelines to enable efficient application deployment.
• Manage container orchestration and deployment using Kubernetes.
• Develop and maintain Python scripts to automate operational tasks and streamline workflows.
• Monitor system performance and troubleshoot issues effectively and promptly.
• Collaborate with software development teams to improve application architecture and best practices.
• Ensure compliance with security standards and practices across all deployments.
• Document processes and create configuration guides for infrastructure and application management.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in a DevOps or Site Reliability Engineer role.
• Proficiency in Python programming and experience with related frameworks.
• Strong understanding of containerization technologies, particularly Kubernetes.
• Experience with cloud service providers (AWS, Azure, or GCP).
• Familiarity with source code management tools (e.g., Git).
• Solid understanding of Linux/Unix systems and scripting languages.
• Experience with configuration management tools (e.g., Ansible, Chef, Puppet).

Technologies & Tools

This position will leverage a variety of modern technologies and tools, including but not limited to, Kubernetes for container orchestration, Python for scripting and automation, AWS or GCP for cloud services, Git for version control, and CI/CD frameworks such as Jenkins or GitLab CI. Familiarity with monitoring tools such as Prometheus and Grafana will also be essential for maintaining optimal system performance.

Ideal Candidates

The ideal candidate for this role will be a proactive problem-solver with a strong analytical mindset and exceptional communication skills. They should exhibit a passion for continuous improvement, be adaptable to rapid changes in technology, and possess the ability to work well in a team-oriented environment. A commitment to best practices in DevOps and a keen interest in staying updated with industry trends and advancements will further distinguish the right candidate for this position.