Summary
An innovative technology company is seeking an early-career Cloud Engineer to provision and manage cloud infrastructure, build CI/CD pipelines, and monitor system health while ensuring cost optimization. The role involves working with infrastructure-as-code practices, containerized workloads, and orchestration platforms. Candidates should have 0-2 years of experience, hands-on experience with at least one major cloud platform, comfort with Linux environments and shell scripting, and a reliability-oriented mindset with strong troubleshooting instincts. Preferred qualifications include prior internship experience with production infrastructure, familiarity with observability stacks, and exposure to cloud-native networking concepts.
Highlights
Early-career opportunity to build production AI agents with high ownership and impact. Work at the intersection of AI, agents, and product. Shape how people experience AI-driven solutions. Gain hands-on experience with cloud infrastructure, CI/CD pipelines, and container orchestration. Strong focus on reliability, cost optimization, and developer velocity.
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
