Mid level DevOps Engineer II

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Job Overview

The Mid-Level DevOps Engineer II at Patterned Learning Career will play a crucial role in bridging development and operations, ensuring a seamless integration of software development and IT operations. This position is focused on automating processes, monitoring system performance, and enhancing the overall reliability and efficiency of cloud environments. The successful candidate will collaborate closely with software engineers to deploy and manage applications while also focusing on security best practices and continuous delivery pipelines.

Job Responsibilities

• Design, implement, and manage CI/CD pipelines to automate deployment processes.
• Collaborate with development teams to understand application architecture and optimize operational stability.
• Monitor system performance, troubleshoot issues, and maintain system health and security.
• Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation.
• Conduct regular system audits and controls for compliance with best practices.
• Continuously improve deployment processes and operational efficiency with innovative solutions.
• Document architectural designs and processes and provide training to junior staff as necessary.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 3-5 years of experience in a DevOps or related role.
• Proficiency in scripting languages such as Bash, Python, or Ruby.
• Experience with containerization technologies, particularly Docker and Kubernetes.
• Strong understanding of cloud services, especially AWS, Azure, or Google Cloud Platform.
• Solid knowledge of configuration management tools such as Ansible, Chef, or Puppet.
• Familiarity with monitoring and logging tools like Prometheus, ELK Stack, or Grafana.

Technologies & Tools

The Mid-Level DevOps Engineer II will primarily work with cloud services such as AWS or Azure, container orchestration platforms like Kubernetes, and configuration management tools including Ansible and Terraform. Proficiency in CI/CD tools (such as Jenkins or GitLab CI) and monitoring solutions (such as Prometheus and Grafana) will be essential for efficiently managing and deploying applications in a cloud environment.

Ideal Candidates

Ideal candidates for this role should possess a blend of technical expertise and interpersonal skills. They should thrive in collaborative environments, demonstrating strong problem-solving capabilities and a commitment to continuous improvement. A proactive approach to identifying challenges and implementing solutions, coupled with a genuine enthusiasm for cloud technologies and automation, will make a candidate successful in this position. Furthermore, the ability to mentor junior team members and convey complex technical concepts in an understandable manner is highly valued.