Senior Observability Engineer
Skills
About This Role
Key Responsibilities
- Own and evolve the
- end-to-end observability architecture
- across applications, infrastructure, and cloud environments
- Centralize
- metrics, logs, traces, and events
- with high reliability and scalability
- Design and enforce
- SLOs, SLIs, and error budgets
- for critical financial systems
- Build advanced
- real-time dashboards and business-aligned KPIs
- for engineering and leadership
- Develop
- intelligent alerting frameworks
- to minimize noise and enable faster incident resolution
- Ensure
- observability pipelines are resilient, scalable, and cost-optimized
- Collaborate with DevOps and engineering teams to implement
- instrumentation, distributed tracing, and logging standards
- Integrate observability systems with
- incident management, on-call, and escalation workflows
- Support
- compliance, audit, and forensic analysis
- through structured logging and traceability
- Drive
- root cause analysis (RCA)
- and continuous improvement of system reliability
- Automate monitoring, alerting, and data enrichment workflows
- Strong hands-on expertise with:
- Monitoring:
Dynatrace, Prometheus, Grafana
- Logging:
Dynatrace, ELK, Splunk Alertmanager
- Proficiency in
PromQL, SPL, KQL
- for advanced log/metric analysis
- Experience developing
- high-performance, scalable dashboards
- in
- Grafana and Kibana
- , integrating
- application, infrastructure, and business KPIs
- for end-to-end observability.
- Deep understanding of
- distributed systems observability and performance monitoring
- Experience with
- high-throughput, low-latency systems
- Experience with enterprise monitoring tools such as
- Riverbed and SolarWinds
- for
- network performance monitoring (NPM), application visibility, traffic analysis, and infrastructure health tracking
- across distributed systems.
Core Expertise
- Observability pillars:
- metrics, logs, traces, events
- Golden signals:
- latency, traffic, errors, saturation
- SLO/SLI-driven reliability engineering
- Alert design with
- high signal-to-noise ratio
- Telemetry standardization and instrumentation strategies
- Mapping
- technical metrics to financial/business KPIs
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