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.

Overview

KLDiscovery is seeking a skilled DevOps Engineer to join our remote team. This role primarily involves enhancing the development and operational processes by managing infrastructure, automating workflows, and ensuring robust systems that align with our organizational goals. The ideal candidate will demonstrate a strong understanding of CI/CD practices, cloud technologies, and collaboration tools, driving efficiency and reliability within our software development life cycle.

Job Responsibilities

• Design, implement, and maintain scalable and reliable system architectures.
• Automate processes and workflows using tools and scripts to enhance productivity.
• Collaborate with development teams to integrate software development and IT operations activities.
• Monitor system performance and troubleshoot any technical issues.
• Manage cloud infrastructure and optimize resource utilization.
• Assist in the deployment of applications and services across multiple environments.
• Ensure security compliance and implement best practices for data protection.
• Participate in on-call rotations and provide support during incidents.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 3-5 years of experience in a DevOps role or similar position.
• Proficient in scripting languages such as Python, Bash, or Ruby.
• Strong knowledge of continuous integration and continuous deployment (CI/CD) tools.
• Experience with cloud services like AWS, Azure, or Google Cloud Platform (GCP).
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and teamwork abilities.

Technologies & Tools

The DevOps Engineer will be expected to work with a variety of technologies and tools, including but not limited to: AWS for cloud deployment and management, Docker for containerization, Kubernetes for orchestrating containers, Jenkins for continuous integration, Terraform for infrastructure as code, and monitoring tools like Prometheus and Grafana for system performance tracking.

Ideal Candidates

The ideal candidates for this position will possess not only the requisite technical skills but also a proactive approach to problem-solving and a collaborative mindset. They should be adaptable to changing priorities, able to thrive in a fast-paced environment, and committed to continuous learning and improvement. A strong sense of ownership and responsibility for projects, along with a passion for automation and optimization, will greatly enhance their fit for this role at KLDiscovery.