Support Engineer

NRG Energy

Houston, TX0–2 yrs50m agovia LinkedIn

About the Role

NRG is seeking a Support Engineer to monitor, triage, document, and escalate production issues across customer-facing digital platforms and energy market systems. This role is ideal for an early-career IT professional looking to build expertise in cloud operations, application support, incident management, automation, and AI-assisted operations.

Key Responsibilities

  • Monitor application and infrastructure health using Dynatrace, CloudWatch, and operational dashboards.
  • Manage incidents and service requests in ServiceNow with clear, accurate documentation.
  • Perform initial troubleshooting of applications, APIs, databases, and batch processes.
  • Escalate issues with supporting evidence, timeline notes, and structured findings.
  • Participate in on-call support rotations in a 24x7 production support model.
  • Use AI tools such as Claude Code, Copilot, and ChatGPT to assist with log analysis, scripting, and incident investigations.
  • Contribute to improving support runbooks and operational processes.

Requirements & Tech Stack

  • Basic understanding of web applications, APIs, databases, and cloud technologies.
  • Familiarity with SQL and basic Python or Bash scripting.
  • Experience with monitoring tools, ticketing systems, or log analysis platforms is a plus.
  • Strong communication, analytical, and problem-solving skills.
  • Interest in AI, automation, and modern operational practices.

Qualifications

  • 0-2 years of experience in IT Operations, NOC, Help Desk, Application Support, or a related technical role.
  • Bachelor’s degree in Computer Science, Information Technology, Information Systems, Software Engineering, Cybersecurity, or a related technical field.

AI Competencies

  • Uses AI assistants to accelerate troubleshooting and script development.
  • Follows AI-guided troubleshooting and runbook workflows.
  • Learns prompt engineering techniques for log analysis and incident triage.
  • Understands the fundamentals of AI-assisted and agentic operations.

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