The SRE Engineer specializing in MQ, DataStage, and automation is responsible for maintaining and optimizing the systems that support seamless message delivery, efficient data processing, and automation across services. They focus on improving system uptime, minimizing disruptions, and driving operational excellence through automation. The engineer works on both the infrastructure side (e.g., managing MQ clusters, DataStage environments) and the automation side (e.g., automating deployments, scaling, and incident response processes). Their work enables the organization to run mission-critical services with minimal downtime, while continuously improving system performance and scalability.
- Ensuring System Reliability: Monitor and maintain the availability and performance of MQ and DataStage environments, responding to incidents and ensuring uptime.
- Automation: Automate deployment, scaling, and management tasks for MQ systems and DataStage pipelines using tools like Python, Ansible, and Terraform.
- Performance Optimization: Optimize message queue configurations and DataStage ETL pipelines for efficiency, throughput, and scalability.
- Collaboration: Work with development teams to integrate MQ and DataStage with applications, define SLOs, and ensure smooth data flow and messaging.
- Security & Compliance: Implement security measures and ensure compliance with data processing standards.
- Documentation & Knowledge Sharing: Maintain clear documentation and share best practices across teams.
- Continuous Improvement: Identify performance bottlenecks and drive improvements in system reliability, automation, and process efficiency.
NA