Remote DevOps Engineer (Kafka/Kong)

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

Overview

The Remote DevOps Engineer (Kafka/Kong) at RemoteWorker US will be responsible for designing, implementing, and maintaining scalable infrastructure solutions using Kafka and Kong. This role involves collaborating with cross-functional teams to optimize continuous integration and deployment processes, enhancing system efficiency, and ensuring seamless operation of cloud-based applications. The successful candidate will also troubleshoot complex issues, enforce DevOps practices, and contribute to the overall improvement of our software development lifecycle.

Job Responsibilities

• Design, implement, and manage CI/CD pipelines to automate processes.
• Develop and maintain Kafka clusters, ensuring high availability and optimal performance.
• Configure and manage Kong API Gateway for microservices architectures.
• Monitor system performance and troubleshoot complex issues in real-time.
• Collaborate with development teams to enhance deployment strategies.
• Document processes and create best practices for DevOps tools and methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in DevOps or a relevant engineering role.
• Proficiency with Kafka and Kong, including installation, configuration, and management.
• Experience with container orchestration tools, such as Docker and Kubernetes.
• Strong scripting skills in languages such as Python, Bash, or Ruby.
• Familiarity with cloud platforms, preferably AWS, Azure, or Google Cloud.

Technologies & Tools

The position utilizes a variety of cutting-edge technologies including, but not limited to, Kafka for streaming data processing, Kong API Gateway for managing microservices, continuous integration/continuous deployment tools (such as Jenkins or GitLab CI), and orchestration platforms like Docker and Kubernetes. Familiarity with cloud services and infrastructure management tools will also be beneficial as part of the DevOps toolchain.

Ideal Candidates

The ideal candidate for this position is a proactive problem solver with a strong analytical mindset. They are adept at working collaboratively in a distributed team environment and possess excellent communication skills, both verbal and written. Our perfect fit is someone who thrives in a fast-paced atmosphere, is highly adaptable to new technologies, and is committed to fostering a culture of continuous improvement.