Datadog)

Bright Vision Technologies•Frisco, TX

1d•Remote

About The Position

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Observability Engineer (Prometheus / Grafana / Datadog) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Requirements

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 at least one general-purpose language such as 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.

Nice To Haves

Experience with Thanos, Mimir, Cortex, Loki, or Tempo at scale.
Contributions to OpenTelemetry or observability open-source projects.
Familiarity with eBPF-based observability tooling.
Experience driving observability cost optimization initiatives.
Exposure to regulated environments with audit-grade logging requirements.

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 the dashboards and alerts that operationalize them.
Build alerting strategies that minimize noise, surface actionable signals, and integrate cleanly with on-call workflows in PagerDuty, Opsgenie, or similar tools.
Operate large-scale time-series and log storage platforms, balancing retention, query performance, and cost.
Design distributed tracing pipelines and help teams use traces to diagnose latency and reliability issues.
Develop self-service tooling, paved-road libraries, and templates that make adoption of observability standards easy for product teams.
Drive cost management and label-cardinality discipline across the observability estate.
Lead incident response readiness improvements through better dashboards, alerting hygiene, and post-incident analysis tooling.
Partner with SRE and platform teams to integrate observability into deployment pipelines, canary analysis, and progressive delivery workflows.
Evaluate and recommend observability vendors and open-source tools based on cost, capability, and operational maturity.
Mentor engineering teams on observability fundamentals, debugging techniques, and SLO-driven operations.
Maintain documentation, onboarding guides, and runbooks for the observability platform.