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Logs Specialist

Data Engineer Full-time Dubai, United Arab Emirates

Job details

Not specified Salary
Dubai, United Arab Emirates Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead log management expertise in a customer-facing specialist role, helping organizations modernize how they collect, route, analyze, and retain log data. You will partner with sales and technical teams to demonstrate value, guide adoption, and help customers replace fragmented or costly logging setups with a more unified observability approach.

Responsibilities - Serve as a subject matter expert on log management and stay current with log standards, telemetry pipelines, and cloud logging practices. - Explain architectural approaches for managing large, high-cardinality log datasets and connect technical choices to customer needs. - Work with account and solutions teams to identify opportunities to replace legacy logging tools. - Lead proofs of concept that demonstrate potential cost savings and faster troubleshooting. - Design resilient, vendor-neutral ingestion and routing patterns using tools such as Fluentd, Logstash, and OpenTelemetry Collector. - Advise on prioritizing data for analytics versus lower-cost archival, and identify adoption or usage barriers. - Run workshops on log-based alerting, query skills, and dashboards; build economic models that connect log strategy to operating costs and incident response.

Requirements - Five or more years in a specialist, pre-sales, professional services, or SRE role, including at least three years focused on log management or big data analytics. - Advanced ability with query languages such as SPL, Kusto, SQL, or Lucene. - Strong understanding of log ingestion and telemetry pipelines. - Hands-on experience with Kubernetes, OpenShift, and serverless logging patterns. - Knowledge of logging ecosystems in at least one major cloud environment, plus infrastructure automation with Terraform or Ansible. - Ability to explain how logging affects costs, troubleshooting time, and operational workload. - A degree in computer science or engineering, or equivalent practical experience.

Nice to have - Experience with modern telemetry pipeline products or OpenTelemetry logging specifications. - Scripting skills in Python, Go, or Bash for transforming logs and cleaning data.

Skills detected in the listing

PythonGoSQLAWSGCPAzureKubernetesTerraform
Detected Nov 4, 2026
Last verified Nov 4, 2026

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