Principal Cloud Engineer – AI

Jobtailor; West Chester (Chester County); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior Cloud Infrastructure Engineer in the United States to design, implement, and operate scalable cloud infrastructure for AI-enabled platforms. You will provision resources with IaC, monitor health, and drive automation while collaborating across engineering teams.

The role requires 10+ years of experience, cloud provider expertise (AWS/Azure/GCP), Kubernetes, and strong security fundamentals. Expect on-call rotations and a focus on observability and secure deployments.

Qualifications

• 10+ years of relevant work experience.
• Bachelor's Degree preferred, or equivalent coursework/experience.
• Cloud infrastructure engineering experience with AWS, Azure, or GCP.
• Kubernetes and container platform experience.
• Infrastructure as Code experience with Terraform, Packer, Ansible, or equivalent.
• Python programming for automation and operational tooling.
• Monitoring, logging, and alerting systems experience.
• CI/CD tools and release automation experience.
• Security fundamentals, including IAM, secrets management, encryption, and network security.
• AI literacy covering agent lifecycles, orchestration, and non-deterministic execution behaviors.

Responsibilities

• Design, implement, and operate cloud infrastructure for scalable, highly available AI-enabled and Agentic platforms.
• Provision and manage cloud resources using Infrastructure as Code.
• Monitor platform health through metrics, logs, dashboards, and alerts.
• Troubleshoot and resolve complex cloud, distributed-system, and integration failures.
• Develop automation and tooling in Python and shell scripting.
• Implement and improve observability solutions.
• Collaborate with application, data, and AI teams before and after releases.
• Support CI/CD pipelines and safe, repeatable deployments.
• Ensure secure cloud operations, including secrets management, access controls, encryption, and secure networking.
• Apply AI literacy to understand agent lifecycles, orchestration, and non-deterministic execution.

Skills

Cloud Infrastructure Engineering

Kubernetes

Python Programming

Security Fundamentals

Observability

Distributed Systems

CI/CD Tools

Monitoring & Logging

IAM & Secrets Management

Networking & Encryption

Education

Bachelor's Degree Preferred

Tools

Terraform

Ansible

Packer

Job description

• Design, implement, and operate cloud infrastructure for scalable, highly available AI-enabled and Agentic platforms
• Provision and manage cloud resources using Infrastructure as Code
• Monitor platform health through metrics, logs, dashboards, and alerts
• Troubleshoot and resolve complex cloud, distributed-system, and integration failures
• Develop automation and tooling in Python and shell scripting
• Implement and improve observability solutions
• Collaborate with application, data, and AI teams before and after releases
• Support CI/CD pipelines and safe, repeatable deployments
• Ensure secure cloud operations, including secrets management, access controls, encryption, and secure networking
• Apply AI literacy to understand agent lifecycles, orchestration, and non-deterministic execution
• Use AI-assisted tools for investigation, documentation, and optimization while validating outputs
• Maintain runbooks, platform documentation, and operational standards
• Participate in on-call rotations and serve as an escalation point during production incidents
• Perform other assigned duties

Requirements

• 10+ years of relevant work experience
• Bachelor's Degree preferred, or some combination of coursework and experience, or extensive related professional experience
• Cloud infrastructure engineering experience with AWS, Azure, or GCP
• Kubernetes and container platform experience
• Infrastructure as Code experience with Terraform, Packer, Ansible, or equivalent
• Python programming for automation and operational tooling
• Monitoring, logging, and alerting systems experience
• CI/CD tools and release automation experience
• Security fundamentals, including IAM, secrets management, encryption, and network security
• Strong systems thinking and operational ownership
• Adaptability and critical thinking
• AI literacy covering agent lifecycles, orchestration patterns, and non-deterministic execution behaviors
• Ability to participate in on-call rotations
• Preferred: production experience with AI, ML, or Agentic platforms; data and streaming platforms; PySpark, Databricks, or data pipelines; networking and protocol standards; HSMs or advanced key management; large-scale distributed systems; cloud cost optimization and performance tuning

Core Competencies

Demonstrates expertise in cloud infrastructure engineering, particularly with AWS, Azure, or GCP, and proficiency in Infrastructure as Code using Terraform or Ansible. Strong capabilities in Python programming for automation, along with a solid understanding of security fundamentals and AI literacy are essential.

Highest-signal resume keywords

• Cloud Infrastructure Engineering
• Infrastructure as Code
• Python Programming
• CI/CD Tools
• Security Fundamentals

ATS Optimization Keywords

Hard Skills

• Cloud Infrastructure Engineering
• Infrastructure as Code
• Python Programming
• Kubernetes
• Terraform
• Monitoring Systems
• CI/CD Automation
• Secrets Management
• Encryption
• Distributed Systems

Soft Skills

• Systems Thinking
• Adaptability
• Critical Thinking
• Operational Ownership

Certifications & Qualifications

• Bachelor's Degree Preferred

Industry Keywords

• AI-Enabled Platforms
• Agentic Platforms
• Cloud Operations
• Observability Solutions
• On-Call Rotations
• Production Experience
• Data Pipelines
• Networking Standards

Tools & Technologies

• AWS
• Azure
• GCP
• Ansible
• Packer
• AI-Assisted Tools
• Databricks
• PySpark