Role: Sr. DevOps Engineer (Confluent Kafka/Cloud)

Location: Irvine, CA-Day one onsite

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.