
5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
🔥 0 minutes ago
Ansible
AWS
Azure
Chef
Cloud
Google Cloud Platform
Kubernetes
Linux
MySQL
Postgres
Puppet
Python
Shell Scripting
Terraform
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5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
• Ensure reliability, performance, scalability, and operational excellence of our multi-cloud DBaaS platform across AWS, Azure, and GCP. • Drive operational standards, automation frameworks, and reliability engineering practices across distributed cloud environments.
• 6-8 years in DBA / Platform Engineering • 5+ yrs of relevent experience in PostgreSQL • Should be ok to work 24x7 set up • Database Administration (DBA) Skills—Primary Database: PostgreSQL; Secondary Database: MySQL, SQLServer; Database Backup & Recovery; Performance Tuning; Database Security. • Cloud Infrastructure Knowledge (DBaaS)—Cloud Platforms: AWS, Azure, GCP; Infrastructure as Code (IaC): Terraform, CloudFormation, Kubernetes; Observability Tools: ELK stack; Database Migration; Database Scaling. • SRE Principles—Incident Management; Monitoring and Alerting; Service Level Objectives (SLOs) / Service Level Agreements (SLAs); Disaster Recovery Planning. • Scripting and Automation—Scripting Languages: Python, Shell scripting, Bash, PowerShell; Automation Tools: Ansible, Puppet, Chef. • Networking and Infrastructure—Networking Basics, Database Connectivity, Storage and Disk Management. • Expertise in Linux OS (RHEL, Ubuntu, Centos)—Knowledge of file systems, permissions, and ownership; Proficiency with monitoring tools; Understanding of resource limits.
• Work from Home / Remote Work • Strong multi-cloud experience (Azure / AWS / GCP – at least two) • Deep HA/DR & performance tuning expertise • Automation-first mindset (Terraform, scripting, CI/CD) • Experience in SaaS/DBaaS environments preferred
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