Senior Observability and Monitoring Engineer

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.

Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.3 billion.

We are forming a new Observability team responsible for the design, evolution, and operation of our company-wide monitoring, logging, and tracing platforms.
This role is a key part of our strategic shift from Datadog to a self-hosted observability stack fully compliant with local regulatory requirements.

Today, we operate multiple observability systems — our legacy stack based on Datadog (logs, metrics, APM, RUM, dashboards, and alerts), and our new Elastic Enterprise platform used for storing audit, access, application, and database logs required by regulators.
On top of Elastic, we've built SOC2 and SIEM integrations with external vendors.

You'll be part of a small, highly technical team tasked with defining the future of observability at scale - designing, migrating, and maintaining the platforms that power visibility, compliance, and reliability across the organization.

Build and operate the new observability platform on Kubernetes: telemetry collectors, Kafka-based ingestion and processing pipelines, and the storage and query layer (ClickHouse, Mimir, Grafana)
Automate the platform's infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD)
Troubleshoot the platform end-to-end (Kubernetes, networking, pipelines) and plan its capacity, scaling, and cost
Support and gradually decommission Datadog integrations (logs, metrics, APM, RUM, dashboards, monitors)
Collaborate with SRE, DevOps, and Security teams to ensure observability compliance and integration with SOC 2 / SIEM
Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility
Document architecture, data flows, and best practices

Must Have:
4+ years in DevOps / SRE / Observability roles
3+ years running production workloads on Kubernetes
Infrastructure as code with Terraform
Solid Linux and networking fundamentals, with strong troubleshooting skills
Hands-on experience with a public cloud (GCP preferred; AWS or Azure also welcome)
Experience building or operating data pipelines or observability platforms at scale (logs, metrics, or traces)

Nice to Have: OpenTelemetry (collectors, Grafana Alloy, instrumentation)
Kafka and ClickHouse
Hands-on experience with metrics and APM platforms (Prometheus, VictoriaMetrics, Mimir, etc.) and Grafana
Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, log shippers)
Exposure to security monitoring / SIEM integration
Service mesh (Istio)