Job Summary

The Observability Engineer builds the monitoring, tracing, and logging infrastructure that provides visibility into Rimini Streets Agentic AI ERP Platform. You will ensure that operators, developers, and customers can understand system behavior, diagnose issues, and optimize performance across the distributed platform.

Reporting to the Sr Director Engineering - India, this role is critical for production operations and customer trust. You will implement OpenTelemetry-based instrumentation, build dashboards and alerting, and create the observability foundation that enables reliable AI agent operations in enterprise ERP environments.

Responsibilities

Observability Infrastructure

- Design and implement observability architecture using OpenTelemetry as the foundation.
- Deploy and manage distributed tracing infrastructure with Jaeger or similar tools.
- Build metrics collection and storage using Prometheus, Thanos, or Cortex.
- Implement centralized logging with structured log formats and efficient querying.
- Ensure observability infrastructure scales with platform growth and customer deployments.

Instrumentation Integration

- Define instrumentation standards for Java (Quarkus), Python, and Angular applications.
- Implement automatic and manual instrumentation for MCP servers and agent workflows.
- Create trace context propagation across service boundaries and ERP system calls.
- Build custom metrics for AI agent behavior, LLM performance, and RAG retrieval quality.
- Integrate observability with CI/CD pipelines for deployment tracking.

Dashboards Visualization

- Create Grafana dashboards for platform health, performance, and business metrics.
- Build customer-facing dashboards showing agent activity and processing status.
- Design SLI/SLO dashboards and error budget tracking.
- Implement trace visualization for debugging complex agent workflows.
- Create documentation and training materials for dashboard usage.

Alerting Incident Response





- Design alerting strategies that balance signal quality with noise reduction.
- Implement multi-level alerting with appropriate escalation paths.
- Build runbooks linking alerts to diagnostic procedures and remediation steps.
- Support incident response with observability expertise and root cause analysis.

Experience

- 4-6 years in observability, SRE, or platform engineering roles.
- Experience implementing observability for distributed systems or microservices.
- Track record building dashboards and alerting for production systems.
- Experience with OpenTelemetry or similar instrumentation frameworks.
- Background in enterprise software or B2B SaaS preferred.

Technical Skills

Required

- OpenTelemetry (traces, metrics, logs)
- Prometheus, Grafana, and alerting systems
- Distributed tracing with Jaeger or similar tools
- Log aggregation (ELK stack, Loki, or similar)
- Programming skills in Python, Java, or Go for instrumentation and tooling

Preferred

- Kubernetes observability and service mesh telemetry
- AI/ML observability, including LLM monitoring
- Quarkus and Python instrumentation
- SLI/SLO frameworks and error budgets
- Understanding of PromQL, LogQL, and TraceQL query languages

Skills Competencies

- Strong analytical and troubleshooting skills.
- Good written and verbal English communication skills.
- Ability to work in distributed, multi-timezone teams.
- Data-driven mindset with focus on actionable insights.
- Cooperative approach to working with development and operations teams.

Desired Qualifications

- Bachelors degree in Computer Science or related field.
- Grafana, Prometheus, or observability platform certifications.
- CKA or cloud platform certifications.

Language: Fluent English required.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Observability Engineer (Hyderabad)
🏢 Rimini Street
📍 Hyderabad