Cloud Operations Engineer I (Junior)

JumpMind; Columbus (OH); On-site; USD 60,000 - 80,000; Full time

Job summary

JumpMind in Columbus, OH is hiring a Cloud Operations Engineer I (Junior) to help maintain the company’s production cloud environment. You will work under mentorship with the Senior Cloud Operations Engineer and use AI tools to speed up troubleshooting, scripting, and runbook updates.

The role emphasizes hands-on learning and growth toward senior operations or SRE paths, with exposure to Terraform/OpenTofu configs and automated workflows.

Qualifications

• 0-2 years of IT operations or related technical work
• Basic understanding of cloud concepts
• Comfort with Linux CLI
• Practical experience using AI tools for technical tasks
• Genuine interest in learning to build and use AI agents

Responsibilities

• Monitor dashboards and alerts for infrastructure health
• Respond to production alerts and incidents under guidance
• Execute routine patching and maintenance
• Assist with backup verification and DR tests
• Maintain and update runbooks and documentation

Skills

Linux CLI

Cloud concepts

Incident comms

AI tooling usage

Scripting (Python|Bash)

IaC learning

Tools

Terraform/OpenTofu

AI agents automation

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Cloud Operations Engineer I (Junior)

Columbus, OH, US

Reports to: CISO & Chief AI Officer (with day-to-day technical mentorship from the Senior Cloud Operations Engineer) Team: CloudOps (new team) Level: Entry-Early Career IC

Role summary

The Cloud Operations Engineer I supports the day-to-day health of Jumpmind's production cloud environment, building foundational operations skills while working closely with the Senior Cloud Operations Engineer. This is a hands-on, learning-forward role for someone early in their cloud/infrastructure career who wants to grow into a senior operations or SRE track. Jumpmind expects this role to use AI tools as a standard part of daily work - from day one, you'll be encouraged to use AI to speed up troubleshooting, documentation, and scripting rather than doing everything by hand.

Day-to-day responsibilities

• Monitor dashboards and alerts for infrastructure health; triage and elevate anomalies
• Respond to first-line production alerts and incidents under guidance from the Senior Cloud Operations Engineer
• Execute routine patching and maintenance tasks on a defined schedule
• Assist with backup verification and disaster recovery test execution
• Apply pre-defined infrastructure changes (via existing Terraform/OpenTofu configs) under review
• Maintain and update runbooks and documentation as processes are learned and refined
• Track and report on basic cost/usage metrics to support FinOps reviews
• Help gather evidence for recurring compliance/audit requests (screenshots, config exports, access lists) under direction
• Shadow incident response and postmortems to build troubleshooting judgment
• Participate in an on-call rotation once ramped (typically after an initial training period)
• Use AI tools (e.g., Claude, ChatGPT, Copilot) to assist with troubleshooting, writing/updating runbooks, and drafting scripts, with senior review before anything touches production
• Help maintain and extend simple AI-driven automations built by the Senior Cloud Operations Engineer (e.g., alert triage bots, log-summary agents) under guidance
• Build comfort with AI-assisted workflows as a core operational skill, with growth expected towards independently building small automations/agents over time

Required qualifications

• 0-2 years of experience in IT operations, systems administration, helpdesk/NOC, or a related technical role (internships count)
• Basic understanding of cloud computing concepts (compute, storage, networking)
• Comfort working in a Linux command-line environment
• Eagerness to learn cloud platforms, IaC, and operational tooling
• Strong attention to detail and clear communication, especially during incidents
• Practical, hands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot) for real technical tasks - not just casual/personal use
• Genuine interest in learning to build and use AI agents to automate repetitive work

Preferred qualifications

• Exposure to AWS (or another major cloud provider), even via coursework, certifications, or personal projects
• AWS Cloud Practitioner or equivalent certification (or actively pursuing one)
• Basic scripting experience (Python or Bash)
• Any experience (even coursework or personal projects) building a simple AI agent, chatbot, or automation using an LLM API