Rackspace Technology is a multicloud solutions expert, committed to delivering end-to-end solutions across applications, data, and security. They are seeking a Mid-to-Senior Cloud & DevOps Engineer to manage and enhance their cloud infrastructure, focusing on AWS environments, CI/CD workflows, and AI integration.
Responsibilities:
- Deploy and maintain highly available AWS environments (EC2, ECS, EKS) using Terraform to ensure infrastructure is versioned and reproducible
- Build and manage automated pipelines in GitLab CI or Jenkins, and use Ansible to eliminate manual configuration and drift
- Manage the full lifecycle of containerized applications using Docker and Kubernetes
- Perform administration and automated deployments across Linux and Windows environments using Python or Bash
- Design, secure, and troubleshoot cloud networking components including VPCs, Subnets, Route53, and Load Balancers
- Implement and support infrastructure for AI/ML workloads and utilize AI-powered tools to enhance system monitoring and automated incident response
Requirements:
- 4–6 years in Cloud and DevOps Engineering roles
- Hands-on expertise with AWS (specifically EKS, EC2, RDS, S3, and Secrets Manager)
- Proven ability to manage production stacks using Terraform
- Deep understanding of VPC peering, DNS, Load Balancing, and network security protocols
- Proficiency in Docker and Kubernetes (running and troubleshooting clusters)
- Solid experience with GitLab CI / Jenkins and Ansible
- Practical experience or strong knowledge in supporting AI infrastructure (e.g., GPU instances, model deployment pipelines) or using AI tools to improve productivity
- Working with Helm or Kustomize for manifest management
- Solid understanding of AWS IAM, security groups, and encryption at rest/transit
- Hands-on experience with Datadog, Prometheus, or Grafana
- Familiarity with SignalFX or Splunk is a plus
- AWS Certified Solutions Architect or CKA (Certified Kubernetes Administrator)