Grafana Observability Engineer

RESPONSIBILITIES:
Kforce has a client in Greenwood Village, CO that is seeking a hands-on Observability Engineer with deep expertise in the Grafana observability stack, cloud-native environments (primarily AWS), and strong experience with monitoring and telemetry for containerized workloads. This role will focus on building and optimizing observability pipelines for modern cloud infrastructure - including Docker, Kubernetes, and edge router devices - with a clear emphasis on performance visibility, alerting, and long-term metrics storage. If you live and breathe observability and can describe the role Prometheus plays in a Grafana infrastructure without hesitation, this is the opportunity for you.

Key Responsibilities:
* Observability Platform Ownership: Design, maintain, and optimize observability infrastructure using the Grafana stack including Grafana (frontend), Prometheus (time-series DB), Mimir (long-term metrics storage), SNMP pullers, and Graphite
* Cloud Monitoring: Implement and manage monitoring for AWS-based services, ensuring visibility into containers, microservices, serverless components, and networking
* Container Observability: Build observability for Docker and Kubernetes workloads, leveraging cloud-native tools and integrations
* Data Ingestion & Alerting: Create intelligent alerts and dashboards to monitor infrastructure health, application behavior, and system performance
* Tool Integration: Integrate and support observability tooling across cloud and limited on-prem environments
* Log & Metrics Analysis: Utilize DataDog and Splunk (not Loki) for event and log monitoring. Understanding Loki is a plus, but not required
* Performance Optimization: Help tune systems for performance, availability, and scalability by analyzing monitoring outputs and advising on corrective actions
* Collaboration & Enablement: Work across teams to enable developers, SREs, and platform teams to self-serve observability needs effectively

REQUIREMENTS:
* Strong understanding of Docker and Kubernetes telemetry and monitoring
* Practical experience with DataDog and Splunk
* Ability to design and manage monitoring across hybrid cloud/on-prem setups
* Deep understanding of time-series data and dashboard-driven observability practices

Expert-level experience with the full Grafana observability stack, including:
* Grafana (dashboard and visualization frontend)
* Prometheus (metrics collection and querying)
* Mimir (long-term metrics storage)
* Graphite (legacy support or expansion)
* SNMP pullers (for router/device monitoring)
* Cloud Infrastructure Monitoring in AWS environments

Preferred/Nice to Have:
* Experience in the telecommunications or WiFi domain
* Familiarity with Loki and transitioning skills to Splunk-based setups
* Scripting or automation experience in languages like Python, Go, or Bash
* Exposure to IaC tools (Terraform, CloudFormation) for observability stack deployment

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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