Space Telemetry & Observability Engineer

E-Space

Saratoga (CA)

On-site

USD 160,000 - 200,000

Full time

14 days+
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Job summary

E-Space is seeking an OSSTelemetry Observability Engineer to design and implement observability across distributed systems. The role focuses on real-time monitoring, distributed tracing, alerting, and dashboards to ensure KPI- and SLA-driven reliability for our space-to-ground IoT networks.

You will work with core engineering and NOC teams, applying AI-powered anomaly detection and modern ELK/Grafana stacks to improve fault detection, remediation, and service restoration across edge and cloud

Qualifications

  • 10+ years of experience in a telecom environment or similar roles.
  • Expertise in monitoring tools (Prometheus, Kibana, Grafana, ELK Stack).
  • Strong knowledge of distributed systems and microservices architecture.
  • Basic Python / Linux / Bash knowledge.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Understanding of SLO/SLI/SLA concepts.
  • Excellent written and verbal communication skills.
  • Excellent interpersonal skills.

Responsibilities

  • Design and implement observability strategies across distributed systems.
  • Deploy and maintain monitoring solutions using Prometheus, Kibana, ELK Stack, Grafana.
  • Develop automated alerting systems with AI-powered anomaly detection.
  • Create and maintain dashboards for real-time system visibility.
  • Implement distributed tracing and log aggregation solutions.
  • Create on-demand dashboards to monitor metrics or validate restorations.
  • Provide technical support to NOC engineers for issue analysis.
  • Develop KPIs and metrics for mobile network performance.
  • Develop and maintain dashboards, alerts, and visualizations for KPIs.

Skills

Prometheus
Kibana
Grafana
ELK Stack
Distributed systems
Python
Linux
Bash
Cloud platforms
SLO/SLA/SLI

Tools

Prometheus
Kibana
Grafana
ELK Stack

Job description

E-Space is seeking an OSSTelemetry Observability Engineer to design and implement observability across distributed systems. The role focuses on real-time monitoring, distributed tracing, alerting, and dashboards to ensure KPI- and SLA-driven reliability for our space-to-ground IoT networks.

You will work with core engineering and NOC teams, applying AI-powered anomaly detection and modern ELK/Grafana stacks to improve fault detection, remediation, and service restoration across edge and cloud

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