Staff Database Reliability Engineer - IN (Oracle + Cloud)
Rackspace · Hyderabad, India
staff
data engineering
Database Engineer
tech_leadership
· Posted Apr 20, 2026
Skills
SQL AWS GCP Azure Terraform PostgreSQL MySQL CI/CD Linux DevOps Performance Optimization Disaster Recovery SaaS Python Bash Kubernetes Docker Ansible CloudFormation Elasticsearch Datadog Prometheus Grafana Networking Configuration Management Observability Infrastructure as Code Incident Response Patch Management Automation Cloud Computing Cosmos DB
About this role
Rackspace is hiring a staff-level Database Engineer in the data engineering function based in Hyderabad, India. The posting calls out experience with SQL, AWS, GCP, Azure.
- Role
- Database Engineer
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Hyderabad, India
- Posted
- Apr 20, 2026
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Job description
from Rackspace careersWhat We’re Looking For
Someone who can work from Hyderabad - Work from Office
- 8-10+ years in DBA / Platform Engineering
- 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
For a Site Reliability Engineer (SRE) in a DBaaS (Database-as-a-Service) support role, the following mandatory skills are typically required:
1. Database Administration (DBA) Skills
- Primary Database: Oracle
- Secondary Database: MySQL, PostgreSQL, MS SQL Server
- Database Backup & Recovery: Tools and strategies for database backups and disaster recovery.
- Performance Tuning: Query optimization, indexing strategies, and database performance troubleshooting.
- Database Security: User management, roles, access control, and auditing.
2. Cloud Infrastructure Knowledge (DBaaS)
- Cloud Platforms: AWS (RDS, Aurora), Azure (Cosmos DB, SQL Database), GCP (Cloud SQL, Firestore).
- Infrastructure as Code (IaC): Terraform, CloudFormation, Kubernetes.
- Kubernetes & Containers: Running databases in containers (like Kubernetes).
- Observability Tools: ELK stack (Elasticsearch, Logstash, Kibana)
- Database Migration: Migrating databases across different platforms or cloud environments.
- Database Scaling: Vertical and horizontal scaling techniques in cloud environments.
3. SRE Principles (Site Reliability Engineering)
- Incident Management: Handling database outages, incident response, and on-call rotations.
- Monitoring and Alerting: Tools like Prometheus, Grafana, Datadog, CloudWatch.
- Service Level Objectives (SLOs) / Service Level Agreements (SLAs): Ensuring uptime and performance targets.
This is an excerpt. Read the full job description on Rackspace careers →