DevOps Engineer (Remote)

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

Job Overview

The DevOps Engineer at KLDiscovery will play a pivotal role in bridging the gap between development and operations teams, ensuring seamless software deployment and infrastructure management. This position involves automating processes, monitoring system performance, and improving overall efficiency through the implementation of best practices in DevOps methodologies. The ideal candidate will leverage advanced tools and technologies to optimize the software development lifecycle while maintaining high levels of system reliability and security.

Job Responsibilities

• Collaborate with development and IT staff to design and implement scalable cloud architectures.
• Develop and maintain CI/CD pipelines to streamline software delivery processes.
• Monitor system performance and troubleshoot issues using advanced diagnostic tools.
• Automate manual processes, establishing a culture of efficiency and automation.
• Implement and manage configuration management tools and infrastructure as code practices.
• Participate in on-call rotation for system support and incident management.
• Continuously evaluate emerging technologies to enhance operational excellence.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps or similar role.
• Proficiency in cloud service platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization technologies, including Docker and Kubernetes.
• Strong foundation in scripting languages (Python, Bash, etc.) and automation tools (Ansible, Chef, Puppet).
• Good understanding of networking, server management, and system security practices.
• User-level experience with Git for version control.

Technologies & Tools

The DevOps Engineer at KLDiscovery will utilize various technologies and tools including cloud infrastructure platforms (AWS, Azure), container orchestration (Kubernetes), automation frameworks (Ansible, Terraform), and continuous integration tools (Jenkins, GitLab CI). Familiarity with monitoring tools such as Prometheus or Grafana will also be essential for ensuring optimal system performance and reliability.

Ideal Candidates

The ideal candidate for the DevOps Engineer position will possess a proactive attitude, with a strong commitment to continuous learning and improvement. They will exhibit excellent problem-solving skills, allowing them to address and resolve issues efficiently. Strong communication abilities will be critical for collaborating effectively with cross-functional teams. A passion for innovative technology and a meticulous approach to system management will enhance their success in this role.