DevOps Engineer (Kubernetes & AWS)

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Job Overview

The DevOps Engineer (Kubernetes & AWS) at Jobot will play a critical role in optimizing our deployment pipelines, maintaining high availability, and enhancing the overall efficiency of the production environment. This individual will work collaboratively across development and operations teams to automate workflows, implement CI/CD processes, and leverage cloud services to scale our applications effectively. Your expertise in Kubernetes and AWS will enable you to contribute to the design and implementation of containerized environments and infrastructural resilience strategies.

Job Responsibilities

• Design, implement, and manage robust CI/CD pipelines using Kubernetes and AWS services.
• Monitor and optimize application performance and system stability in cloud environments.
• Collaborate with software engineers to ensure seamless integration of deployments across staging and production.
• Automate deployment processes and infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Develop and maintain documentation for processes and systems to aid knowledge transfer.
• Respond to system incidents and provide timely resolution for production issues.
• Evaluate and incorporate new technologies to enhance the existing cloud infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps role with a focus on Kubernetes and AWS.
• In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitLab CI, or similar.
• Strong scripting skills in languages such as Python, Bash, or Ruby.
• Experience with monitoring and logging tools (e.g. Prometheus, Grafana, ELK Stack).
• Familiarity with container orchestration and management solutions.
• Solid understanding of networking concepts, particularly in cloud environments.

Technologies & Tools

The DevOps Engineer will primarily work with Kubernetes as a container orchestration tool and AWS for cloud services. Additional technologies include Terraform for infrastructure management, Docker for containerization, and various CI/CD tools for continuous integration and deployment. Knowledge of monitoring tools such as Prometheus and Grafana will also be essential to maintaining the health and performance of applications.

Ideal Candidates

The ideal candidates for this position will demonstrate a strong foundation in cloud computing principles, with a passion for automating and optimizing processes. They will be proactive problem solvers with excellent communication skills, allowing them to work effectively within a collaborative team environment. Adaptability and a willingness to learn new technologies will be critical, as will an analytical mindset that thrives on innovation and efficiency.