At Logz.io, our customers rely on us to keep their observability environments running smoothly across fast-moving cloud and Kubernetes ecosystems. As a Tier 1 Support Engineer, you’ll be the first point of contact for customer issues — troubleshooting across logs, metrics, traces, and integrations while helping customers get the most out of our platform and AI-powered capabilities.
Own customer issues from initial response through resolution, escalating when needed with clear documentation.
Troubleshoot platform and data ingestion issues across cloud and Kubernetes environments.
Support integrations including Filebeat, Fluentd, Fluent Bit, OpenTelemetry, AWS, and Azure services.
Help customers adopt and use Logz.io AI-powered features.
Provide timely, empathetic, and professional customer communication.
Collaborate with Product, Engineering, and Customer Success to improve customer experience.
Contribute to internal knowledge bases and documentation.
Availability to work weekdays night shifts (11 PM–7 AM) and Saturdays ( 6 PM- 6 AM )
2+ years in technical support or a customer-facing technical role.
Experience with AWS or Azure and familiarity with Kubernetes fundamentals.
Basic understanding of observability concepts: logs, metrics, and tracing.
Strong troubleshooting & problem-solving skills, ability to manage multiple priorities.
Excellent communication and customer management abilities.
Comfortable handling live incidents in a fast-paced environment.
Interest in AI-assisted tooling and modern cloud technologies.
Logz.io helps cloud-native businesses monitor and secure their environment with comprehensive open source tools. Our platform turns observability from a high-cost, low-value burden to a high-value, cost-efficient enabler of better business outcomes by combining and extending familiar, powerful and relevant Open Source capabilities across Logs, Metrics and Traces - complemented by security monitoring in the form of cloud-based SIEM.
