SysOps Engineer – Monitoring & Cloud Operations

About Tap Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey. The Technology Team Our technology team builds the platforms, systems, and payment infrastructure our merchants use to process millions of transactions daily. This team is building technology solutions to simplify MENA payments regionally and globally for businesses of all sizes. As a Tapster you will: Monitor infrastructure using tools like New Relic, Prometheus, and Grafana Configure and maintain alerts, dashboards, and service health checks Perform incident management, troubleshooting, and root cause analysis (RCA) Ensure uptime and SLA compliance for all systems Monitor CPU, memory, disk, and system processes Manage OS-level operations (Linux/Windows) including patching and tuning Manage system backups and perform regular restoration validation Execute and validate disaster recovery (DR) plans across environments Perform failover and failback testing for critical services (on-prem cloud / multi-region) Coordinate DR drills and simulate outage scenarios Ensure replication health and data consistency (in coordination with DataOps) Maintain and update DR runbooks and incident playbooks Perform capacity planning and performance optimization Maintain logs, metrics, and operational documentation What you will bring to the party: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Proven experience in Systems Operations, Cloud Operations, Infrastructure Support, Site Reliability Engineering (SRE), or a related role. Strong hands-on experience administering Linux and Windows operating systems.

with enterprise monitoring and observability platforms such as New Relic, Prometheus, Grafana, Datadog, or similar tools.

Solid understanding of incident management, problem management, and root cause analysis methodologies.

supporting cloud platforms such as AWS, Azure, or Google Cloud Platform.