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.

Job Overview

The Remote DevOps Engineer (Kafka/Kong) at RemoteWorker US will play a pivotal role in streamlining and enhancing our deployment and operational processes. This position involves collaborating with cross-functional teams to design, implement, and maintain scalable systems that utilize Apache Kafka and Kong API Gateway. The ideal candidate will ensure high availability and performance through automation, monitoring, and optimizing cloud infrastructure while advocating for best practices in DevOps.

Job Responsibilities

• Design, implement, and manage Kafka clusters to handle real-time data streams effectively.
• Facilitate the deployment and management of Kong API Gateway in a cloud-based environment.
• Automate CI/CD pipelines to enhance deployment efficiency and reduce manual processes.
• Monitor system performance, troubleshoot issues, and optimize the infrastructure for scalability.
• Collaborate with development and operations teams to foster a DevOps culture across projects.
• Establish and maintain monitoring and alerting solutions to ensure maximum uptime.
• Document processes, system architecture, and configurations to maintain clarity and continuity.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in DevOps or Site Reliability Engineering, preferably with Kafka and Kong.
• Proficiency in scripting languages such as Python, Bash, or similar.
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
• Solid understanding of containerization and orchestration tools, such as Docker and Kubernetes.
• Experience with configuration management tools like Ansible, Puppet, or Chef.
• Strong problem-solving skills and the ability to work in a fast-paced environment.

Technologies & Tools

The Remote DevOps Engineer will work extensively with a variety of technologies and tools including Apache Kafka for handling data streams, Kong API Gateway for efficient API management, Docker for containerization, and Kubernetes for orchestration. Familiarity with automation tools such as Ansible and CI/CD platforms will further facilitate the implementation of a robust DevOps pipeline in a cloud environment.

Ideal Candidates

The ideal candidate for this Remote DevOps Engineer position is a proactive and detail-oriented individual with a passion for automation and efficiency. Excellent communication skills and the ability to collaborate effectively with diverse teams are critical. Candidates should exhibit strong analytical skills, a growth mindset, and a commitment to driving continuous improvement within the DevOps practices. A dedicated problem-solver who embraces challenges and thrives on delivering high-quality solutions will be a perfect fit for this role.