Sr. DevOps Engineer (Confluent Kafka/Cloud) - Zortech Solutions
Irvine, CA
About the Job
Note: Look for Confluent Kafka/Cloud Developer with DevOps exp or Big Data Developer with DevOps exp
Role: Sr. DevOps Engineer (Confluent Kafka/Cloud)
Location: Irvine, CA-Day one onsite-Need local candidates
Duration: 12 Months
Job Description:
Must Have:
P5 - DevOps
P4 - Confluent vent Streaming Platform
P4 - AWS Elastic Kubernetes Service (EKS)
P4 - Java
P4 - Terraform on Microsoft Azure
Job Description:
We are seeking a skilled and experienced Senior DevOps Engineer to join our dynamic team. The ideal candidate will have 5-6 years of experience in DevOps, with a strong background in Kafka, Terraform, Kubernetes, and CI/CD pipelines. You will be responsible for designing, implementing, and maintaining our development, testing, and production environments.
Key Responsibilities:
Design and manage scalable and reliable infrastructure using Terraform and Kubernetes.
Implement, maintain, and monitor CI/CD pipelines to ensure efficient and smooth deployment processes.
Manage and optimize Kafka clusters for real-time data processing.
Collaborate with development teams to ensure seamless integration and deployment of applications.
Automate infrastructure provisioning, configuration management, and application deployment.
Monitor system performance, troubleshoot issues, and ensure system reliability and security.
Continuously improve and streamline our DevOps processes and practices.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).
5-6 years of experience in a DevOps role.
5-6 years of experience with Java.
Proficiency with Terraform, Kubernetes, and Kafka.
Strong experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker).
Solid understanding of infrastructure as code (IaC) principles.
Excellent problem-solving skills and a proactive attitude.
Strong communication and collaboration skills.
Preferred Skills:
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Knowledge of scripting languages (e.g., Python, Bash).
Familiarity with security best practices in DevOps.