DevOps Engineer (Kubernetes & AWS)

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Written by AI from the job title and company, not by Jobot, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a DevOps Engineer specializing in Kubernetes and AWS at Jobot, you will play a pivotal role in the design, implementation, and maintenance of our cloud infrastructure and deployment pipelines. You will collaborate with development and operations teams to streamline and automate processes, enhance system reliability, and ensure the scalability of our applications. Your expertise in cloud technologies and container orchestration will be essential in fostering an efficient development environment that accelerates product delivery while adhering to best security practices.

Job Responsibilities

• Design, deploy, and manage scalable, secure, and highly available applications on AWS.
• Implement and maintain CI/CD pipelines for efficient software development and deployment.
• Utilize Kubernetes for container orchestration, ensuring optimal performance and reliability of containerized applications.
• Monitor system health and performance, troubleshooting and resolving issues as they arise.
• Collaborate with software developers to understand application requirements and provide necessary infrastructure support.
• Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation.
• Participate in on-call rotations and provide support for system outages and incidents.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a DevOps Engineer or in a similar role.
• Strong proficiency in AWS cloud services, including EC2, S3, RDS, and IAM.
• Experience in containerization technologies, particularly Kubernetes and Docker.
• Familiarity with scripting languages such as Python, Bash, or similar.
• Knowledge of CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Understanding of networking, security, and best practices in cloud operations.

Technologies & Tools

The ideal candidate will work with a diverse range of technologies, including but not limited to AWS services (such as EC2, S3, Lambda), Kubernetes for container orchestration, Docker for containerization, and monitoring tools like Prometheus and Grafana. They will also use scripting and automation tools like Terraform, CloudFormation, and CI/CD platforms to streamline deployment and integration processes.

Ideal Candidates

The ideal candidates for this position are innovative problem solvers who thrive in collaborative environments. They should possess a strong analytical mindset, manage multiple tasks effectively, and demonstrate excellent communication skills. A proactive attitude toward continuous improvement and the ability to adapt to changing technologies and environments will enhance their success in this role.