Remote DevOps Engineer (Kafka/Kong)

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Job Overview

The Remote DevOps Engineer specializing in Kafka and Kong will be responsible for designing, implementing, and maintaining our distributed systems and integrations. This role will involve collaborating closely with software development and IT teams to ensure seamless deployment and delivery of high-quality applications and services. The ideal candidate will facilitate continuous improvement and automation strategies to enhance operational efficiencies while leveraging their expertise in both Kafka and Kong technologies.

Job Responsibilities

• Design, implement, and maintain dynamic architectures focused on Kafka and Kong.
• Automate deployment processes and ensure CI/CD best practices.
• Monitor system performance and conduct regular system health checks.
• Collaborate with development teams to create and optimize microservices.
• Resolve performance and operational issues promptly and effectively.
• Implement security and compliance measures for cloud and on-premises solutions.
• Document architectural and operational changes in a clear and systematic manner.
• Participate in code reviews, ensuring adherence to best practices and coding standards.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a DevOps Engineer or in a similar role with a focus on Kafka and Kong.
• Strong knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in scripting languages (Python, Bash, etc.).
• Solid understanding of CI/CD tools and methodologies.
• Strong analytical, troubleshooting, and problem-solving skills.

Technologies & Tools

The Remote DevOps Engineer will primarily work with technologies such as Apache Kafka for stream processing and Kong for API management and gateway solutions. Familiarity with container orchestration tools like Kubernetes, monitoring tools such as Prometheus and Grafana, as well as cloud services from AWS, Azure, or Google Cloud, will be essential. Additional technologies may include Git, Jenkins, and Terraform for infrastructure as code.

Ideal Candidates

The ideal candidate will possess a proactive attitude coupled with strong communication and teamwork skills. They should have a genuine passion for automation and cloud technologies, showcasing a continuous improvement mindset. Attention to detail, coupled with the ability to work independently and manage multiple priorities effectively, will also be key attributes. A willingness to learn and adapt to emerging technologies in the rapidly evolving DevOps landscape is critical for success in this role.