Systems Engineer Specialist

Job Purpose

To provide advanced operational and engineering support for the ELP platform, with a strong focus on Kafka technologies. The role bridges day-to-day platform operations with engineering and architecture work, ensuring stability, scalability, and continuous improvement of the bank’s event-driven and logging platforms. Will support mission-critical platforms used across multiple Banks applications ensuring optimal performance.

Key Responsibilities

• Operational Support & Platform Stability
  • Perform daily platform health checks using monitoring dashboards and tools.
  • Respond to platform alerts, investigate abnormalities, perform deep-dive analysis, and communicate findings.
  • Participate in month-end and critical monitoring activities.
  • Manage and action buiness support requests (certificates, access, password resets, troubleshooting).
  • Collaborate with the teams during patching cycles, restart pipelines, and validate environment stability.
  • Provide operational support for logging and event-driven platforms.
• Engineering & Technical Delivery
  • Support the setup and engineering of Kafka topics and configurations for application teams.
  • Assist with onboarding requests for Kafka and Elastic.
  • Contribute to platform enhancements as the team transitions to cloud-based event-driven architectures.
  • Collaborate with vendors to resolve complex technical issues.
• Standby & Incident Management
  • Participate in the 24/7 standby rotation once familiar with the environment.
  • Serve as the initial point of escalation for critical incidents.
  • Work with cross-functional teams to restore services and implement preventative measures.
• Monitoring, Observability & Automation
• • Use monitoring tools to identify potential performance issues early.
  • Drive automation using Ansible or Terraform.
  • Enhance platform observability using Dynatrace, Prometheus, Grafana, or Datadog.

Required Skills & Technologies

• Apache Kafka experience - Required
• Elastic / ELK Stack (Elasticsearch, Logstash, Kibana) - Advantage
• Monitoring tools: Dynatrace, Prometheus, Grafana, Datadog
• Automation and IaC: Ansible, Terraform
• Container & cloud: AKS, OpenShift
• Linux proficiency

Minimum Experience Level

• Minimum 3–5 years in a Systems Engineering role.
• Experience with Kafka.
• Broader IT experience acceptable if paired with Kafka expertise.