Company
Technology
ObservabilitySpecialist
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“Observability Specialist. Skills: OpenTelemetry, Prometheus, Grafana, Jaeger, Loki, Python, Java, Go, SLI/SLO frameworks, incident management. Design and implement scalable observability architecture using OpenTelemetry for distributed systems and AI-driven platforms. Build and maintain metrics, logging, and tracing infrastructure. Define and enforce instrumentation standards. Implement distributed tracing and context propagation. Develop dashboards, SLIs/SLOs, and alerting systems. Create custo”
What You'll Achieve.
Opportunity to influence reliability standards and observability practices at scale.
Industry & Context.
distributed systems; root cause analysis; troubleshooting
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science or a related technical field. 5+ years of experience in SRE, observability, or platform engineering roles in distributed systems environments. hands-on expertise with OpenTelemetry, including metrics, logs, and tracing. Experience with monitoring and visualization tools such as Prometheus, Grafana, and alerting frameworks. knowledge of distributed tracing tools such as Jaeger, Zipkin, or equivalent systems. Experience with log aggregation tools like ELK stack, Loki, or similar solutions. Proficiency in Python, Java, or Go for instrumentation and automation. understanding of SLI/SLO frameworks, alerting strategies, and incident management practices.
Nice to Have
Familiarity with Kubernetes observability, service mesh telemetry, and cloud-native architectures is a plus. Exposure to AI/ML observability, LLM monitoring, or enterprise ERP systems is highly valued.
What You'll Do.
Design and implement scalable observability architecture using OpenTelemetry for distributed systems and AI-driven platforms.
Build and maintain metrics, logging, and tracing infrastructure.
Define and enforce instrumentation standards.
Implement distributed tracing and context propagation.
Develop dashboards, SLIs/SLOs, and alerting systems.
Create custom metrics and telemetry for AI agent behavior, LLM performance, and system-level insights.
Design alerting strategies, escalation paths, and incident response workflows.
Support root cause analysis and production troubleshooting.
How You'll Work.
Team & Collaboration
experience working in distributed global teams.
Communication Scope
communication
Full Job Description
## Accountabilities Design and implement scalable observability architecture using OpenTelemetry for distributed systems and AI-driven platforms. Build and maintain metrics, logging, and tracing infrastructure using tools such as Prometheus, Grafana, Jaeger, Loki, and related stacks. Define and enforce instrumentation standards across Java, Python, and web-based applications. Implement distributed tracing and context propagation across microservices, MCP workflows, and ERP system integrations. Develop dashboards, SLIs/SLOs, and alerting systems to monitor platform health, performance, and reliability. Create custom metrics and telemetry for AI agent behavior, LLM performance, and system-level insights. Design alerting strategies, escalation paths, and incident response workflows to reduce noise and improve reliability. Support root cause analysis and production troubleshooting using observability data and structured diagnostics. Requirements: Bachelor’s degree in Computer Science or a related technical field. 5+ years of experience in SRE, observability, or platform engineering roles in distributed systems environments. Strong hands-on expertise with OpenTelemetry, including metrics, logs, and tracing. Experience with monitoring and visualization tools such as Prometheus, Grafana, and alerting frameworks. Strong knowledge of distributed tracing tools such as Jaeger, Zipkin, or equivalent systems. Experience with log aggregation tools like ELK stack, Loki, or similar solutions. Proficiency in Python, Java, or Go for instrumentation and automation. Strong understanding of SLI/SLO frameworks, alerting strategies, and incident management practices. Familiarity with Kubernetes observability, service mesh telemetry, and cloud-native architectures is a plus. Exposure to AI/ML observability, LLM monitoring, or enterprise ERP systems is highly valued. Strong analytical, debugging, and communication skills with experience working in distributed global teams. Benefits: Opportu
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