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Grafana Loki Jobs (NOW HIRING)

Site Reliability Engineer

Washington, DC · On-site

$64.25 - $85.50/hr

OpenTelemetry, Prometheus, Grafana, Loki, and Tempo. • Experience with FinOps and optimizing cloud resource consumption. • Experience supporting high-scale distributed systems in a secure ...

Grafana Cloud, Grafana Alloy, OpenTelemetry, Grafana Mimir, Grafana Loki, Grafana Tempo, Grafana IRM. • Experience with Splunk and New Relic. • Strong knowledge of AWS cloud services and hybrid ...

Grafana Engineer

Morristown, NJ · On-site

$58.75 - $78/hr

Prometheus|Loki|Tempo|OpenTelemetry|Elasticsearch/OpenSearch|Splunk (preferred)Understanding of ... Keywords: Grafana| Prometheus| Loki| Tempo| OpenTelemetry| Kubernetes| Cloud Monitoring ...

OR · Hybrid

$129K - $166K/yr

Enabling interoperability (e.g., Magnum, storage backends, network overlays) and shared observability stacks (Prometheus, Grafana, Loki/EFK). * SRE Principles : Applying uniform practices across both ...

Grafana Engineer

Morristown, NJ · On-site

$58.75 - $78/hr

Prometheus|Loki|Tempo|OpenTelemetry|Elasticsearch/OpenSearch|Splunk (preferred)Understanding of ... Grafana Enterprise deployment experience.OpenTelemetry implementation experience.Experience with ...

Implement and optimize observability operations using OpenTelemetry, Prometheus, Grafana, Loki, or Tempo. * Oversee capacity planning, performance optimization, and FinOps practices. * Define and ...

Senior Grafana Engineer

New York, NY · On-site

$82K - $193K/yr

Design enterprise observability architecture using Grafana Alloy, OpenTelemetry, Mimir, Loki, Tempo, and IRM. * Develop dashboards, alerts, service health views, SLIs, SLOs, and operational reporting.

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Grafana Loki information

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$11K

$88.5K

$99K

How much do grafana loki jobs pay per year?

As of Jul 19, 2026, the average yearly pay for grafana loki in the United States is $88,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Grafana Loki Engineer, and why are they important?

To excel as a Grafana Loki Engineer, you need a solid background in system administration, log management, cloud infrastructure, and experience with observability tools, preferably with a degree in computer science or related field. Familiarity with Grafana Loki, Prometheus, Kubernetes, and scripting languages like Python or Bash, as well as relevant certifications (e.g., CNCF) are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills are crucial for collaborating with diverse technical teams and resolving issues swiftly. These competencies ensure efficient log aggregation, monitoring, and troubleshooting, which are vital for maintaining system reliability and performance.

What is the difference between Grafana Loki vs Prometheus?

AspectGrafana LokiPrometheus
Primary FunctionLog aggregation and queryingMetrics collection and alerting
Data TypeLogsMetrics
Work EnvironmentCloud-native, containerized environmentsServer monitoring, cloud and on-premises
Common UsageMonitoring logs in Kubernetes and microservicesMonitoring system and application metrics

Grafana Loki and Prometheus are both open-source tools used in monitoring, but they serve different purposes. Loki focuses on log aggregation, making it ideal for analyzing logs from cloud-native environments. Prometheus specializes in collecting and alerting on metrics data, suitable for performance monitoring. Many organizations use both together for comprehensive observability.

What are some common challenges faced by engineers working with Grafana Loki in a production environment?

Engineers working with Grafana Loki often encounter challenges related to scaling and managing log ingestion rates, especially in high-traffic environments. Ensuring efficient log retention and querying performance requires careful configuration and monitoring of storage backends. Additionally, integrating Loki seamlessly with other observability tools and maintaining consistent log labeling can be complex, necessitating strong collaboration with DevOps and SRE teams. Proactively addressing these areas helps ensure reliable log management and smooth operations.

What is Grafana Loki?

Grafana Loki is an open-source log aggregation system designed to store and query logs from various sources. Unlike traditional log management tools, Loki is optimized for cost-efficiency and scalability by indexing only metadata, not the full log content. It works seamlessly with Grafana for visualization, making it easy to correlate logs with metrics and traces. Loki is often used in cloud-native environments and integrates well with Prometheus, Kubernetes, and other monitoring tools.
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Observability Engineer (Open Telemetry & LGTM)

Observability Engineer (Open Telemetry & LGTM)

SRI Tech Solutions

Waltham, MA • On-site

$61.50 - $81.75/hr

Other

Posted 3 days ago

New


Job description

Overview

Customer is embarking a strategic initiative to establish a modern, observability capability, as part of a broader platform transformation. This role will be instrumental in designing and implementing an Open Telemetry based observability framework and enabling a successful platform go-live.
The engagement focuses on delivering scalable, enterprise-grade observability aligned with best practices, while enabling enhanced operational visibility and engineering productivity across distributed teams.

Scope of Services

Design and implement an Open Telemetry driven observability solution using LGTM stack (Grafana, Loki, Tempo, Mimir)

Deploy and manage services on Azure Kubernetes Service (AKS) and VMWare Kubernetes Services (VKS)

Support Azure Landing Zone configuration aligned to governance models

Deliver Infrastructure as Code (IaC) using Terraform

Implement automation using Ansible

Create and validate YAML configurations

Support platform go-live activities including validation, remediation, and stabilisation

Collaborate with multi-region engineering teams.

Key Deliverables

Functional Open Telemetry PoC

Scalable observability framework

Successful go-live support

Improved monitoring and visibility

Support documentation and knowledge transfer

Required Capability

Core Technical Expertise

Kubernetes (AKS)

Open Telemetry

LGTM stack (Grafana, Loki, Tempo, Mimir)

Azure platform and Landing Zones

Terraform and Ansible

Exposure to SolarWinds

Exposure to Splunk

Exposure to ServiceNow ITSM

Programming & Scripting

Python

YAML

Bash

Exposure to Go (desirable)

Value Proposition

Accelerate adoption of modern observability

Improve incident detection and resolution

Enable scalable cloud-native monitoring

Enhance engineering productivity

Preferred Experience

Transformation programmes

DevOps / SRE practices

Enterprise observability implementations.