Senior Observability and Monitoring Engineer
Tabby is hiring a Senior Observability and Monitoring Engineer for a remote role open to applicants in Serbia. Level rates it ; you can apply on Tabby.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Level classifies it as a senior role.
- Level lists 51 other open roles at Tabby.
- The role was posted in the last few days.
AI in this role
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.
Key Responsibilities
- Operate and maintain Elastic Enterprise clusters (index lifecycle, scaling, retention, access control, backups)
- Design and manage log pipelines (Fluentd / Fluent Bit / Logstash / Beats) for applications, databases, and infrastructure
- 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 SOC2 / SIEM
- Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility
- Implement and optimize metrics and APM solutions (Prometheus, VictoriaMetrics, Mimir, etc.)
- Automate observability infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD)
- Document architecture, data flows, and best practices
Skills, Knowledge and Expertise
Must-Have
- 4+ years in DevOps / SRE / Observability roles
- Solid experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, log shippers)
- Hands-on experience building or running APM / Metrics platforms (Prometheus, VictoriaMetrics, Mimir, etc.)
- Exposure to security monitoring / SIEM integration
- Strong experience in Grafana Labs tools like Loki, Tempo, etc
Nice to Have:
- Familiarity with Kafka, ClickHouse, or Grafana Loki
- Knowledge of Kubernetes and cloud platforms (GCP, OCI, or AWS)
How we rate this
Senior Observability and Monitoring Engineer at Tabby rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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