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

The DevOps Engineer (Kubernetes & AWS) at Jobot will play a crucial role in enhancing our cloud infrastructure, ensuring seamless deployment, and automating processes to increase efficiency. The engineer will be responsible for managing container orchestration using Kubernetes and optimizing our AWS cloud services. This role requires a collaborative mindset and the ability to work closely with software development teams to streamline releases and maintain system integrity.

Job Responsibilities

• Design, implement, and manage container orchestration solutions using Kubernetes for software deployment and scaling.
• Automate infrastructure provisioning and application deployments within AWS environments.
• Monitor system performance and troubleshoot issues to maintain uptime and efficiency.
• Collaborate with development teams to create CI/CD pipelines that facilitate faster code releases.
• Implement best practices for security, monitoring, and performance tuning within AWS and Kubernetes.
• Provide support and guidance to team members on tools and technologies used in the stack.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a DevOps role focusing on cloud services, preferably AWS.
• Proficient in Kubernetes for container orchestration and management.
• Strong experience in scripting languages such as Python, Bash, or similar.
• Familiarity with CI/CD tools and methodologies.
• Knowledge of networking, security, and high-availability solutions in cloud environments.

Technologies & Tools

The DevOps Engineer will work extensively with a range of technologies and tools, including AWS (Amazon Web Services) for cloud management, Kubernetes for container orchestration, Docker for containerization, and various CI/CD tools such as Jenkins or GitLab CI. Additional exposure to monitoring tools like Prometheus or Grafana will be beneficial.

Ideal Candidates

The ideal candidate for this position is someone who possesses a strong analytical mindset, effective problem-solving abilities, and a passion for automation. Excellent communication skills are vital, as the role requires interaction with multiple teams. Candidates should exhibit a proactive attitude, keen attention to detail, and a continuous learning approach to stay current with evolving DevOps practices and technologies.