Remote Site Observability Engineer: Scale & Insight

Bright Vision Technologies

Issaquah (WA)

On-site

USD 100,000 - 150,000

Full time

7 days ago

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Job summary

Bright Vision Technologies is seeking a Site Observability Engineer to design and operate scalable observability platforms spanning metrics, logs, traces, events, and dashboards. You will translate telemetry into actionable insights for engineers and business stakeholders.

The role includes shaping SLOs/SLIs, implementing OpenTelemetry standards, and deploying Prometheus, Grafana, Loki, Tempo, and Datadog at scale.

Qualifications

Bachelor’s degree in Computer Science or a related field.
Five or more years of experience in SRE, platform engineering, or observability roles.
Deep hands-on experience with Prometheus, Grafana, and at least one major commercial observability platform such as Datadog, New Relic, or Splunk.
Strong understanding of OpenTelemetry, distributed tracing, and structured logging.
Proficiency in Go, Python, or Java.
Experience operating high-cardinality, high-throughput metrics and log pipelines.
Strong understanding of SLOs, error budgets, and SRE principles.
Experience integrating observability with CI/CD and incident management tooling.
Solid grasp of Linux internals, networking, and container platforms.
Excellent communication and collaboration skills.

Responsibilities

Design and operate enterprise-grade observability platforms covering metrics, logs, traces, events, and synthetic monitoring.
Architect Prometheus / Thanos / Mimir, Grafana, Loki, Tempo, OpenTelemetry, and Datadog deployments for high availability and scale.
Develop standards for service instrumentation, including OpenTelemetry adoption, metric naming, label cardinality, and structured logging conventions.
Define and enforce SLOs, SLIs, and error budgets, and build dashboards and alerts that operationalize them.
Build alerting strategies that minimize noise and integrate with on-call workflows.
Operate large-scale time-series and log storage platforms balancing retention, query performance, and cost.
Design distributed tracing pipelines and help teams diagnose latency and reliability issues.
Develop self-service tooling and templates to simplify adoption of observability standards.
Drive cost management and label-cardinality discipline across the observability estate.
Lead incident response readiness improvements through dashboards and post-incident analysis tooling.
Partner with SRE and platform teams to integrate observability into deployment pipelines and progressive delivery workflows.
Evaluate observability vendors and open-source tools based on cost and capability.
Mentor engineering teams on observability fundamentals and SLO-driven operations.
Maintain documentation, onboarding guides, and runbooks for the observability platform.