Senior Observability Engineer – Required Skill Set
Core Technical Skills- Observability Platforms
· Datadog, Dynatrace, Prometheus, Grafana, OpenSearch / Elasticsearch
· Jaeger, Tempo, Open Telemetry
Programming & Development
· Golang (Preferred), Python, Java and C#
Cloud & Platform Engineering
· Kubernetes, Cloud Platforms (AWS/Azure/GCP), Containerized Environments
· Distributed Systems Architecture
Observability Engineering
· Metrics, Logs, Traces, Events, SLI / SLO Design, Telemetry Collection & Processing
· Instrumentation of Applications, Alerting & Monitoring Frameworks and Telemetry Pipeline Development
Automation & AIOps
· Observability Automation, AIOps Solutions, API Development, Internal Tooling Development and MTTR Reduction Initiatives
Engineering Experience Required
· 3 to 5 years of hands-on Observability Engineering experience
· Strong Software Engineering background
· Production support and troubleshooting experience
· Experience operating large-scale distributed systems
· Performance tuning and optimization and Debugging production incidents using telemetry data
Nice-to-Have Skills
· Open Telemetry Collectors, Exporters, Processors, SDKs
· Site Reliability Engineering (SRE), Platform Engineering
· Internal Developer Platforms, High-volume Data Pipelines
· Streaming & Event Processing, Buffering and Backpressure Management
Key Responsibilities
· Design and build observability platforms and services
· Develop telemetry pipelines and instrumentation libraries
· Implement Open Telemetry solutions
· Improve reliability, debuggability, and operational visibility
· Define observability standards and best practices
· Optimize telemetry systems for scale, cost, and reliability
· Collaborate with Application, Infrastructure, Security, Operations, and SRE teams
Ideal Candidate Profile
Robust Observability Tools Expertise (Datadog, Dynatrace, Open Telemetry)
Software Development Experience (Golang/Python/Java)
Platform / C
📌 Senior Observability Engineer/SRE (India)
🏢 Clifyx
📍 India