DevOps (Data Engineer) - GTG

Key Responsibilities:

CI/CD Pipeline Management

• Design, build, and maintain robust CI/CD pipelines for automated deployment and management of data infrastructure and applications.
• Collaborate with data engineering teams to troubleshoot and resolve deployment and infrastructure-related issues.

Containerization & Orchestration

• Implement and manage containerized applications using Docker.
• Deploy and maintain orchestration solutions with Kubernetes for scalable infrastructure.

Infrastructure-as-Code (IaC) & Cloud Management

• Develop and maintain IaC using tools like Terraform for reproducible and version-controlled infrastructure.
• Manage cloud infrastructure (AWS, GCP, or Azure) ensuring security, compliance, and cost-efficiency.

Monitoring & Observability

• Establish monitoring, logging, and alerting solutions using tools such as Prometheus, Grafana, or Datadog.
• Ensure system reliability, performance, and operational excellence across the platform.

Optional / Advanced Responsibilities

• Manage infrastructure for data technologies like Apache Spark, Apache Airflow, or Kafka.
• Apply knowledge of customer analytics platforms such as RudderStack, Amplitude, Kochava, and Braze.
• Ensure cloud security best practices, IAM policies, and network security compliance.