Staff Database Platform Reliability Engineer, MS SQL, Cloud

🕒 April 30

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Rackspace Technology

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Ensure reliability, performance, scalability, and operational excellence of our multi-cloud DBaaS platform across: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) • Drive operational standards, automation frameworks, and reliability engineering practices across distributed cloud environments.

🎯 Requirements

• 8–10+ years of experience in DBA / Platform Engineering • Strong experience in multi-cloud environments (minimum two: Azure / AWS / GCP) • Expertise in high availability (HA), disaster recovery (DR), and performance tuning • Strong automation mindset using Terraform, scripting, and CI/CD pipelines • Experience in SaaS / DBaaS environments is preferred • Database Administration (DBA) Skills • Microsoft SQL Server (Primary) • PostgreSQL, MySQL (Secondary) • Backup & Recovery strategies • Performance tuning (query optimization, indexing, troubleshooting) • Database security (roles, access control, auditing) • Log Analysis: Reading and analyzing database and system logs. • Root Cause Analysis (RCA): Performing in-depth analysis after major incidents • Query Performance: Analyzing slow queries, deadlocks, and resource contention. • AWS (RDS, Aurora), Azure (SQL Database, Cosmos DB), GCP (Cloud SQL, Firestore) • Infrastructure as Code (Terraform, CloudFormation, Kubernetes) • Containerized database environments (Kubernetes) • Observability tools (ELK stack – Elasticsearch, Logstash, Kibana) • Database migration across cloud platforms • Database scaling strategies (vertical & horizontal scaling)

🏖️ Benefits

• Health insurance • Paid time off • Professional development opportunities