Summary
✨ AI‑Generated
An early-career cloud engineering role focused on provisioning and managing infrastructure across development, staging, and production environments. You will build CI/CD pipelines, monitor system health, respond to incidents, manage containerized workloads, and help optimize cloud costs and scalability.
Highlights
An early-career cloud engineering opportunity with high ownership and impact, focused on production AI infrastructure, automation, CI/CD, reliability, scalability, and cloud cost optimization.
Description
Jobright is your personal AI job search agent that transforms the way you do job search.
They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD pipelines, and monitor system health while ensuring cost optimization.
Why Join Us
• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search
Responsibilities
• Provision, configure, and manage cloud infrastructure across development, staging, and production environments using infrastructure-as-code practices
• Build and maintain CI/CD pipelines that enable engineering teams to ship code reliably and frequently with minimal manual intervention
• Monitor system health, troubleshoot outages, and drive incident response with a focus on reducing mean time to recovery
• Manage containerized workloads and orchestration platforms, ensuring services scale smoothly under varying traffic loads
• Identify cost optimization opportunities and implement resource governance to keep cloud spend aligned with business priorities
Qualification
Required
• Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Information Technology, or a related technical field
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
• Comfort with Linux environments, shell scripting, and the command-line workflows that underpin modern infrastructure management
• A reliability-oriented mindset with strong troubleshooting instincts and the patience to chase down root causes in distributed systems
Preferred
• Previous internship or project experience managing production infrastructure, writing Terraform/Pulumi modules, or operating Kubernetes clusters
• Familiarity with observability stacks such as Prometheus, Grafana, Datadog, or ELK for monitoring, alerting, and log analysis
• Exposure to networking concepts like DNS, load balancing, VPCs, and service mesh in a cloud-native context
• Genuine curiosity about how infrastructure decisions impact developer velocity and end-user experience
