GenAI Engineer - SRE & Platform Reliability

Dimension Consulting
Phoenix, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Phoenix, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Azure
Cloud Engineering
Continuous Integration
DevOps
Github
Monitoring of Systems
Python
Knowledge Management
Log Analysis
Openshift
Reliability Engineering
Prometheus
Runbook
Test Case Design
Datadog
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Cloud Platform System
GitHub Copilot
Large Language Models
Grafana
Mttr
Reliability of Systems
Generative AI
Infrastructure as Code (IaC)
GIT
Kubernetes
Information Technology
REST
Terraform
Splunk
New Relic (SaaS)
Dynatrace
Docker

Job description

We are looking for a highly skilled GenAI Engineer to drive enterprise-scale Site Reliability Engineering (SRE), Platform Health, Observability, and Engineering Productivity initiatives. The ideal candidate will leverage Generative AI technologies, Large Language Models (LLMs), automation frameworks, and cloud-native tools to improve operational efficiency, reduce incidents, enhance platform reliability, and accelerate developer productivity., * Implement AI-powered solutions using GitHub Copilot, Devin AI, OpenAI, Azure OpenAI, and AI agents.

  • Develop automation workflows for operational support, incident remediation, and platform health monitoring.
  • Build AI-driven solutions for:
  • Code remediation
  • Test case generation
  • Root cause analysis
  • Runbook creation
  • Knowledge management
  • Operational documentation
  • Partner with SRE and Platform Engineering teams to improve system reliability and reduce MTTR.
  • Design and enhance observability solutions across enterprise platforms.
  • Analyze logs, metrics, traces, and telemetry data using AI-driven approaches.
  • Develop Python-based automation and analytics solutions.
  • Create dashboards, reporting frameworks, and executive-level insights.
  • Drive adoption of AI technologies across development and operations teams.

Required Skills

  • Strong Python development and automation scripting experience
  • Generative AI, LLMs, AI Agents
  • GitHub Copilot, Devin AI, OpenAI or Azure OpenAI
  • REST APIs and automation frameworks
  • Git, GitHub, GitHub Actions, CI/CD Pipelines
  • Linux/Unix Administration
  • AWS, Azure, or Google Cloud Platform
  • Terraform and Infrastructure as Code (IaC)
  • Monitoring and observability tools:
  • Splunk
  • Dynatrace
  • Datadog
  • Grafana
  • Prometheus
  • New Relic

Requirements

  • Incident Management
  • Problem Management
  • Service Reliability Engineering (SRE)
  • Availability Management
  • Operational Excellence
  • Production Support
  • Observability and Monitoring, * Experience implementing AI-powered engineering productivity solutions
  • Kubernetes, Docker, OpenShift, or cloud-native architectures
  • DevOps and Platform Engineering experience
  • Enterprise-scale platform modernization initiatives
  • Experience supporting large-scale cloud environments

Experience Required

  • 6+ years of overall IT experience
  • Strong background in SRE, DevOps, Platform Engineering, Automation, or Reliability Engineering
  • Hands-on experience implementing GenAI-based solutions

Apply for this position