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.
- Service Level Objectives (SLOs) / Service Level Agreements (SLAs) :Ensuring uptime and performance targets.
- Disaster Recovery Planning :Ensuring high availability (HA) and disaster recovery (DR) solutions.

4. Scripting and Automation





- Scripting Languages :Python, Shell scripting, Bash, PowerShell.
- Automation Tools :Ansible, Puppet, Chef.
- Infrastructure Automation :Automating database deployment, patching, and scaling.

5. Networking and Infrastructure

- Networking Basics :TCP/IP, DNS, Firewall, Load Balancers.
- Database Connectivity :Connection pooling, failover strategies, and multi-region deployment.
- Storage and Disk Management :Understanding IOPS, latency, and throughput.

6. OS Skills

Expertise in Linux OS ( RHEL, UBunto, Centos)

- Understanding of file systems (ext4, XFS, etc.), permissions, and ownership (chmod, chown, ACLs).
- Knowledge of process monitoring, management, and troubleshooting (ps, top, htop, kill, pkill, etc.).
- Proficiency with tools like top, htop, vmstat, iostat, sar, and dstat to monitor CPU, memory, disk I/O, and network usage.
- Ability to analyze system logs (/var/log/, journalctl, dmesg) for troubleshooting.
- Understanding of resource limits (CPU, memory, disk, network) and how they impact database performance.
- Knowledge of partitioning tools (fdisk, parted) and file system management (mkfs, mount, umount).
- Understanding of RAID configurations and Logical Volume Management (LVM) for storage scalability.
- Understanding of RAID configurations and Logical Volume Management (LVM) for storage scalability.

7. Troubleshooting and Debugging

- Log Analysis :Reading and analysing database and system logs.
- Root Cause Analysis (RCA) :Performing in-depth analysis after major incidents
- Query Performance :Analysing slow queries, deadlocks, and resource contention.

8. Soft Skills

- Communication Skills :Explicit communication with stakeholders and engineering teams.
- Problem-Solving :Ability to troubleshoot complex database issues under pressure.
- Collaboration :Working closely with DevOps, Infrastructure, and Engineering teams.

About Rackspace Technology

**More on Rackspace Technology

📌 Staff Database Reliability Engineer - (PostgreSQL + Cloud) (Hyderabad)
🏢 rackce
📍 Hyderabad