DevOps Engineer
2 weeks ago
Key Responsibilities :
- Design, build, and maintain robust and efficient CI/CD pipelines using Azure DevOps. Automate build, test, and deployment processes for Kafka applications.
- Implement and maintain continuous integration and continuous delivery practices.
- Develop and manage infrastructure as code (IaC) using Terraform to provision and manage Kafka clusters.
- Automate infrastructure deployments and configurations for scalability and reliability.
- Ensure infrastructure consistency and compliance with best practices.
- Implement and adhere to software development best practices, including version control, code reviews, and testing.
- Ensure the quality, scalability, and security of all Kafka-related solutions.
- Participate in code reviews and provide constructive feedback to team members.
- Collaborate effectively with software engineers, data engineers, and other stakeholders to understand requirements and deliver solutions that meet business needs.
- Communicate technical concepts effectively to both technical and non-technical audiences.
- Participate in agile development methodologies and contribute to team discussions.
- Monitor Kafka cluster performance and identify and resolve any issues.
- Troubleshoot Kafka-related problems and provide timely solutions.
- Stay up-to-date with the latest Kafka technologies and best practices.
Required Competencies :
- 6+ years of proven experience as a DevOps Engineer with a strong focus on Azure DevOps and Terraform.
- Strong understanding of CI/CD principles and best practices.
- In-depth knowledge of Azure DevOps, including pipelines, build agents, and release management.
- Expertise in Terraform for infrastructure provisioning and management.
- Solid understanding of Linux/Unix systems administration.
- Experience with containerization technologies (Docker, Kubernetes).
- Basic knowledge of Confluent Kafka, including its architecture, features, and best practices.
- Basic knowledge of cloud platforms, preferably AWS.
- Strong attention to detail and commitment to quality.
- A strong desire to learn and adapt to new technologies and best practices.
Bonus Points :
- Experience with Kafka Streams, Kafka Connect, and other Kafka ecosystem components.
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
- Experience with scripting languages (Python, Bash).
- Experience with Agile methodologies (Scrum, Kanban).
- Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert)
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