Observability Engineer - Columbus, OH || Need Locals || W2 only

Cerebra Consulting
Columbus, United States of America
2 months ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Columbus, United States of America

Tech stack

Electronic Mailing
Log Analysis
SQL Databases
Data Streaming
Datadog
Scripting (Bash/Python/Go/Ruby)
Large Language Models
Grafana
Kubernetes
Information Technology

Job description

We're looking for an Observability Engineer to enhance visibility into restaurant systems by building dashboards, integrating pipelines, and enabling proactive detection of issues. You'll work across teams to maintain system stability, ensure reliable data flows, and support production operations. What You'll Do

  • Build and enhance dashboards based on business needs.
  • Monitor and maintain system stability across environments.
  • Analyze logs, traces, and metrics; resolve production issues.
  • Manage IT projects, documentation, and process improvements.
  • Handle ticket queues and coordinate tasks with cross-functional teams.
  • Implement changes with proper testing, validation, and planning.
  • Ensure compliance with IT and security policies.
  • Stay current on observability and cost-optimization technologies.
  • Use observability tools for proactive alerting, insight generation, and service health monitoring.
  • Design new data visibility solutions based on business requirements., Job Title: AL/ ML engineer Location: Columbus, OH Type: Contract Key Responsibilities Build and optimize LLM-powered agents capable of generating: Email templates, conten…
  • 8 days ago

Requirements

  • Kubernetes experience
  • Full-stack observability experience
  • Grafana

Nice to Haves

  • Datadog
  • Edge compute
  • POS experience, * Bachelor's degree preferred.
  • 3 5 years of relevant experience.
  • Experience with Grafana.
  • Python scripting skills.
  • Familiarity with Kubernetes and SQL.
  • Restaurant POS experience (preferred).

About the company

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