Job Description
Cloud Operations Engineer I:
Cloud Operations Engineer I (Junior)
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 escalate 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 toward 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)
Interest in security/compliance -adjacent work
Any experience (even coursework or personal projects) building a simple AI agent, chatbot, or automation using an LLM API
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