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

RemoteWorker US is seeking a skilled Remote DevOps Engineer specializing in Kafka and Kong to enhance our infrastructure and collaboration practices. The ideal candidate will work closely with cross-functional teams to design, implement, and maintain scalable and reliable systems. You will be responsible for streamlining our deployment processes, ensuring system performance, and integrating various tools and technologies to maintain an efficient workflow.

Job Responsibilities

• Design, implement, and manage Kafka messaging systems to ensure high availability and performance.
• Develop and maintain APIs using Kong to enhance microservices communication.
• Collaborate with development and operations teams to define and automate deployment pipelines.
• Monitor system performance and troubleshoot issues to maintain optimal application uptime.
• Implement and manage configuration management tools to streamline infrastructure as code.
• Ensure system security and compliance requirements are met through best practices and audits.
• Engage in incident response, diagnosing and solving infrastructure issues as they arise.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 3 years of experience in DevOps or a similar engineering role.
• Proficient in working with Kafka and Kong, including deployment and management.
• Hands-on experience with CI/CD tools and methodologies.
• Strong knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent troubleshooting and problem-solving skills with a strong attention to detail.

Technologies & Tools

This position requires proficiency in various technologies and tools, including but not limited to Apache Kafka for messaging, Kong for API management, Docker for containerization, and various CI/CD tools for automated deployments. Familiarity with cloud environments will also be essential to effectively manage our infrastructure and optimize the application lifecycle.

Ideal Candidates

The ideal candidate is someone who thrives in a dynamic, fast-paced environment and demonstrates exceptional collaboration skills. You should possess strong analytical thinking and a proactive attitude towards continuous improvement. The ability to adapt quickly to new technologies and processes is essential, along with a passion for automating workflows and optimizing performance. A commitment to quality and operational excellence will define your contributions to our team.