Staff Database Reliability Engineer - (PostgreSQL + Cloud)
Rackspace · Hyderabad, India
staff
data engineering
Database Engineer
tech_leadership
· Posted Apr 23, 2026
Skills
Python SQL Bash AWS GCP Azure Kubernetes Docker Terraform Ansible CloudFormation MySQL Elasticsearch CI/CD Datadog Prometheus Grafana Linux Networking DevOps Configuration Management Observability Infrastructure as Code Performance Optimization Incident Response Patch Management Disaster Recovery SaaS 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 Python, SQL, Bash, AWS.
- Role
- Database Engineer
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Hyderabad, India
- Posted
- Apr 23, 2026
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Job description
from Rackspace careers🔹 What We’re Looking For
- Somone who can work from office ( Hyderabad location )
- 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
- Should be ok to work in 24x7 setup.
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: PostgreSQL
- Secondary Database: MySQL, Oracle, 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.
This is an excerpt. Read the full job description on Rackspace careers →