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.

Overview

As a DevOps Engineer specializing in Kubernetes and AWS at Jobot, you will play a critical role in designing, implementing, and maintaining robust automated infrastructure solutions. You will collaborate with cross-functional teams to ensure seamless integration and deployment of applications while optimizing workflows and reliability. Your expertise in both cloud technologies and container orchestration will be instrumental in driving continuous improvement within our DevOps practices, ultimately delivering high-quality solutions that enhance operational efficiency.

Job Responsibilities

• Design, implement, and manage scalable and secure Kubernetes clusters in AWS.
• Develop automation tools and scripts for cloud infrastructure provisioning and management.
• Monitor and optimize application performance and resource usage in cloud environments.
• Collaborate with development teams to streamline CI/CD pipelines for faster release cycles.
• Implement security best practices for cloud-based applications and infrastructure.
• Maintain documentation of systems architecture and configuration changes.
• Conduct troubleshooting and root cause analysis of production issues.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a DevOps role with a focus on AWS and Kubernetes.
• Proficient in containerization technologies and orchestration (Docker, Helm, etc.).
• Strong understanding of infrastructure as code tools (Terraform, CloudFormation).
• Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
• In-depth knowledge of system monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Solid understanding of networking concepts, security protocols, and cloud best practices.

Technologies & Tools

This position will require hands-on experience with a variety of technologies and tools including but not limited to AWS (EC2, S3, RDS), Kubernetes, Docker, Terraform, Helm, Jenkins, Prometheus, Grafana, and various scripting languages such as Python or Bash. Familiarity with Agile methodologies is also preferred, and an understanding of the software development lifecycle will further enhance your ability to contribute effectively in this role.

Ideal Candidates

The ideal candidates for this position will exhibit strong analytical skills, a proactive approach to problem-solving, and an insatiable curiosity for technology. A collaborative mindset paired with outstanding communication skills will enable success in a team-oriented environment. Candidates should be adaptable and open to continuous learning, with a passion for optimizing processes and driving efficiency within their work. Previous experience handling high-availability systems and implementing best practices in container orchestration will set candidates apart.