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Grafana Loki Jobs (NOW HIRING)

Dexian DISYS

Grafana and Observability Engineer

Coppell, TX · On-site

$53 - $70.50/hr

Experience with Grafana Alloy, Tempo, Loki, Mimir, or Prometheus. * Experience running observability platforms in AWS. * Knowledge of Kubernetes, containers, and cloud native observability.

Alpaca

Senior DevOps Engineer

New York, NY

$142K - $182K/yr

Strengthen our observability stack - metrics, logs, traces and alerting across Prometheus, Thanos, Grafana, Loki, Tempo and Alertmanager - so the platform is easy to run and reason about. * Operate ...

Precision Technologies Corp

GCP Cloud Architect

Tarrytown, NY · On-site

$68.75 - $87.50/hr

Establish observability frameworks: metrics, logs, traces (Prometheus, Grafana, Loki, Jaeger, Dynatrace, Splunk) * Design robust network, security, backup, and disaster recovery architectures across ...

Precision Technologies Corp

Cloud Architect

Sleepy Hollow, NY · On-site

$68.75 - $87.50/hr

Establish observability frameworks: metrics, logs, traces (Prometheus, Grafana, Loki, Jaeger, Dynatrace, Splunk) * Design robust network, security, backup, and disaster recovery architectures across ...

Paratus

Founding Engineer

San Francisco, CA · On-site

$152K/yr

... Grafana, Loki, Keycloak) in secure deployments • Knowledge of DoD security and compliance frameworks • Hands-on experience integrating LLMs into production-grade applications or workflows • ...

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$11K

$88.5K

$99K

How much do grafana loki jobs pay per year?

As of Sep 5, 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 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.

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 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.

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Grafana Loki jobs near you
Infographic showing various Grafana Loki job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $88,479 per year, or $42.5 per hour.

Senior Kubernetes Platform Engineer AI Infrastructure (W2 Position)

Teknosys Inc

Santa Clara, CA • On-site

$126K - $171K/yr

Other

Posted 8 days ago

Job description

Greetings!
 
We have Kubernetes platform engineer Position.
 
Please find the Job description as below:
 
Workstyle: Hybrid
 
Location : Raleigh, NC
 
*Candidate must be available for in-person interview.
 

Role Summary
We are seeking a senior Kubernetes platform engineer to support AI infrastructure environments used for model development, distributed training, inference services, and shared platform operations. The role requires deep cluster troubleshooting expertise in mixed bare-metal and data center environments.

Responsibilities

  • Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads.
  • Diagnose failures across control plane components, kubelet, CNI, CSI, ingress, service discovery, scheduling, node lifecycle, container runtime, and resource isolation.
  • Support GPU-enabled Kubernetes environments, including device plugin behavior, driver dependencies, node health, and workload placement.
  • Improve reliability through automation, standardized configuration, upgrade planning, and cluster validation gates.
  • Investigate issues involving storage throughput, network policy, DNS, image pulls, autoscaling, pod eviction, and degraded node states.
  • Partner with Linux, networking, validation, and SRE teams to resolve cross-layer failures.
  • Create reusable runbooks, dashboards, and health checks for day-2 support.
  • Contribute to platform hardening, tenant readiness, and service-level objectives.

Required Skills

  • 7+ years of infrastructure engineering experience.
  • Deep hands-on Kubernetes administration experience.
  • Strong understanding of Kubernetes internals and cluster troubleshooting.
  • Experience with container runtimes, Helm, GitOps or declarative operations, and cluster lifecycle management.
  • Experience supporting GPU workloads on Kubernetes.
  • Strong Linux administration background.
  • Understanding of data-center networking dependencies.
  • Ability to debug from symptom to root cause across node, pod, network, storage, and control-plane layers.
  • Scripting and automation skills in Python, Bash, or Go.

Preferred

  • Kubeflow
  • Argo
  • Prometheus
  • Grafana
  • Loki
  • Service mesh technologies
  • Bare-metal Kubernetes
  • High-performance storage integration
  • Regulated or high-change-control production environments

Kindly share updated resume in word format and LinkedIn profile link.

Thanks and Regards,
Shruti Kumari
IT Recruiter / HR - Teknosys, Inc

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