[Hiring] Cloud Engineer III @Rackspace Technology

Role Description

The L3 DevOps / Cloud Engineer will act as a senior technical resource responsible for leading complex infrastructure and DevOps activities, driving automation, defining technical standards, and improving platform reliability. The role requires strong hands-on expertise in AWS, Terraform, AWX/Ansible, ArgoCD, GitOps, Kubernetes, CI/CD, and Disaster Recovery.

Key Responsibilities

• Act as the L3 escalation point for complex Cloud, DevOps, Kubernetes, infrastructure, and deployment issues.
• Lead major technical activities across production and non-production environments.
• Take ownership of complex infrastructure changes, upgrades, migrations, and platform improvements.
• Lead and coordinate Disaster Recovery (DR) activities, including:
  • DR planning
  • Restore testing
  • Failover/failback activities
  • Application and infrastructure recovery
  • DR validation
  • Runbook preparation and improvement
• Design and implement infrastructure using Terraform.
• Develop and maintain reusable Terraform modules.
• Review Terraform code and infrastructure changes implemented by L1/L2 engineers.
• Define Terraform coding standards, repository structure, and implementation best practices.
• Strong hands-on experience with AWX / Ansible.
• Develop reusable Ansible roles, playbooks, and automation workflows.
• Use AWX to automate:
  • Server configuration
  • Patching
  • Application deployment
  • Infrastructure operations
  • Repetitive BAU activities
• Identify manual operational activities and convert them into automated workflows.
• Design and maintain ArgoCD-based deployments.
• Implement and support GitOps practices for Kubernetes and application deployments.
• Define GitOps repository structures and deployment standards.
• Manage and troubleshoot ArgoCD:
  • Applications
  • Sync issues
  • Configuration drift
  • Deployment failures
  • Environment promotion
  • Rollback activities
• Design and maintain Kubernetes workloads running on Amazon EKS.
• Develop and maintain reusable Helm Charts.
• Define standards for Helm values, templates, and environment-specific configurations.
• Design and improve CI/CD deployment processes.
• Support and improve Jenkins and other CI/CD automation.
• Define deployment strategies and operational standards.
• Lead automation initiatives across Cloud and DevOps platforms.
• Develop automation using:
  • Terraform
  • Ansible / AWX
  • Bash
  • Python
  • CI/CD pipelines
• Define and enforce technical standards for:
  • Infrastructure as Code
  • Terraform
  • GitOps
  • Kubernetes
  • Helm
  • CI/CD
  • Automation
  • Cloud operations
  • Patching
  • Deployment processes
• Establish reusable templates, modules, pipelines, and automation frameworks.
• Perform technical reviews for changes implemented by L1 and L2 engineers.
• Lead complex production incidents and perform Root Cause Analysis.
• Identify recurring issues and implement permanent automated solutions.
• Improve monitoring, logging, alerting, and operational reliability.
• Participate in architecture and technical design discussions.
• Lead production deployments, infrastructure upgrades, patching, and maintenance activities.
• Mentor and provide technical guidance to L1 and L2 engineers.
• Create and maintain:
  • SOPs
  • Runbooks
  • Technical standards
  • Architecture documentation
  • DR documentation
  • Operational procedures

Core Technical Skills

• AWS
• Amazon EKS
• Kubernetes
• Terraform
• Terragrunt
• AWX
• Ansible
• ArgoCD
• GitOps
• Helm
• Docker
• Jenkins
• CI/CD
• Git
• Linux
• Windows
• Bash / Python
• SSL/TLS
• Infrastructure Automation
• Disaster Recovery
• Monitoring & Logging
• Production Troubleshooting
• Root Cause Analysis

L3 Expectations

• Leading technical activities independently
• Owning complex Cloud and DevOps changes
• Designing and implementing automation
• Leading Disaster Recovery activities
• Implementing GitOps using ArgoCD
• Building automation using AWX/Ansible
• Developing and reviewing Terraform code
• Defining technical standards and best practices
• Driving operational improvements
• Mentoring L1/L2 engineers
• Handling complex production incidents and RCA
• Focus on engineering, automation, standardization, reliability, and technical leadership

Company Description

Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission-critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.