DevOps Engineer - Kubernetes & Python - REMOTE

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

Job Overview

As a DevOps Engineer specializing in Kubernetes and Python at Perficient, you will play a crucial role in automating and streamlining operations and processes, leveraging your expertise in deployment and container orchestration. You will collaborate with cross-functional teams to develop and maintain scalable infrastructure, drive performance improvements, and implement CI/CD pipelines. Your contributions will enhance the overall efficiency of our software development lifecycle and contribute to the successful delivery of high-quality software solutions.

Job Responsibilities

• Design, implement, and manage Kubernetes clusters in cloud environments.
• Develop automation scripts in Python for continuous integration and delivery (CI/CD) processes.
• Collaborate with development teams to identify and resolve application and infrastructure issues.
• Monitor system performance and troubleshoot production issues effectively.
• Implement best practices for scalability, backup, and disaster recovery.
• Contribute to the improvement of current DevOps processes and methodologies.
• Provide mentorship and knowledge transfer to junior team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in a DevOps role, with a strong focus on Kubernetes and Python.
• Solid understanding of cloud services (AWS, Azure, GCP).
• Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Proficiency in scripting languages, particularly Python.
• Knowledge of container orchestration and management tools.
• Familiarity with networking, security, and system administration concepts.
• Strong problem-solving skills and attention to detail.

Technologies & Tools

The position utilizes a variety of technologies and tools aimed at enhancing operational efficiency and product delivery. This includes technologies such as Kubernetes for container orchestration, Python for scripting and automation, and cloud services like AWS, Azure, or Google Cloud Platform. Familiarity with CI/CD tools such as Jenkins and GitLab is also essential, along with monitoring and logging tools to ensure the health of applications and infrastructure.

Ideal Candidates

The ideal candidate for this role is a self-motivated individual who thrives in a collaborative environment and demonstrates a passion for continuous learning and improvement. Strong communication skills, both verbal and written, are essential to effectively engage with team members and stakeholders. A good fit would also exhibit a proactive approach to identifying issues and a willingness to propose innovative solutions that drive operational excellence.