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 managing and optimizing our cloud infrastructure. You will collaborate closely with cross-functional teams to enhance our continuous integration and deployment processes, ensuring high availability and scalability of services. Your deep knowledge in Kubernetes and AWS will help drive best practices in automation, monitoring, and system reliability to support our dynamic environment.

Job Responsibilities

• Design, implement, and maintain CI/CD pipelines to streamline the deployment process.
• Manage Kubernetes clusters and optimize container orchestration for high-performance applications.
• Utilize AWS services to architect and maintain scalable, fault-tolerant systems.
• Monitor system performance, troubleshoot issues, and implement solutions to ensure uptime and reliability.
• Collaborate with development teams to create a seamless operational workflow.
• Document infrastructures, automation processes, and deployment strategies.
• Implement security best practices across the cloud environment and for all deployed applications.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in a DevOps role with a focus on Kubernetes and AWS.
• Strong familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or similar platforms.
• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
• Solid understanding of infrastructure as code (IAC) tools like Terraform or CloudFormation.
• Knowledge of scripting languages such as Bash, Python, or Go.
• Strong problem-solving skills and ability to work under pressure in dynamic environments.

Technologies & Tools

This position involves working extensively with various technologies and tools, including but not limited to Kubernetes for container orchestration, Amazon Web Services (AWS) for cloud infrastructure, Terraform for infrastructure as code, and CI/CD tools such as Jenkins and GitLab. Familiarity with monitoring systems like Prometheus and Grafana is also essential for maintaining optimal service performance.

Ideal Candidates

The ideal candidate for this position is a proactive and adaptable individual who excels in collaborative environments. You should demonstrate strong analytical skills and a passion for automation and optimization. Excellent communication abilities are crucial as you will interact with diverse teams. Candidates who thrive in fast-paced settings and continuously seek to improve processes and technologies will find this role particularly rewarding.