ELK / Stash SRE Engineer (DevOps), Eden Prairie, MN (Onsite & Locals Only)

Tror AI for everyone; Eden Prairie (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Tror AI for everyone in Eden Prairie, MN is seeking a senior ELK/SRE Engineer to build Kibana dashboards, manage Elasticsearch and Logstash, and troubleshoot production issues.

You will collaborate on cloud deployments, Kubernetes, monitoring, and observability tooling, bringing 10+ years of ELK Stack experience to a hands-on DevOps role onsite.

Qualifications

• 10+ years of experience with ELK Stack.
• Strong Kibana dashboard development, Lens focus.
• Experience creating monitoring/observability dashboards.
• Strong knowledge of Elasticsearch DSL and KQL.
• Experience building and supporting Logstash pipelines.
• Knowledge of APM, logging, metrics, and distributed tracing.
• Experience with AWS or Azure.
• Experience with Kubernetes.
• Knowledge of CI/CD and scripting/automation.
• Strong troubleshooting and communication skills.

Responsibilities

• Build Kibana dashboards and manage Elasticsearch and Logstash.
• Troubleshoot production issues and optimize observability tooling.
• Collaborate on cloud deployments, Kubernetes, and monitoring stacks.

Skills

ELK Stack

Kibana dashboard development

Lens

monitoring/observability dashboards

Elasticsearch DSL and KQL

Logstash pipelines

APM, logging, metrics, distributed...

AWS or Azure

Kubernetes

CI/CD and scripting/automation

troubleshooting and communication

Tools

Kibana

Elasticsearch

Logstash

Kubernetes

AWS

Azure

Job description

Role: ELK / Stash SRE Engineer (DevOps)
Location: Eden Prairie, MN (Onsite)
Experience: 10+ Years

Note: Need who can work on w2

Need a senior ELK/SRE Engineer who can build Kibana dashboards, manage Elasticsearch and Logstash, troubleshoot production issues, and work with cloud, Kubernetes, and monitoring tools.

Must Have:

• 10+ years of experience with
  ELK Stack
• Strong
  Kibana dashboard development, especially
  Lens
• Experience creating
  monitoring/observability dashboards
• Strong knowledge of
  Elasticsearch DSL and KQL
• Experience building and supporting
  Logstash pipelines
• Knowledge of
  APM, logging, metrics, and distributed tracing
• Experience with
  AWS or Azure
• Experience with
  Kubernetes
• Knowledge of
  CI/CD and scripting/automation
• Strong
  troubleshooting and communication skills