engineering
Posted 1 weeks agoStaff Database Reliability Engineer ( MYSQL + Cloud)
at Rackspace
Hyderabad, IndiaHybrid
Requirements
- Role Summary We are seeking an experienced SRE/DBRE to ensure reliability, performance, scalability, and operational excellence of our multi-cloud DBaaS platform across: Microsoft Azure Amazon Web Services Google Cloud Platform This role combines deep database expertise with SRE principles to build highly available, automated, and resilient database platforms.
- The DBRE Lead will drive operational standards, automation frameworks, and reliability engineering practices across distributed cloud environments 🔹 What We’re Looking For 8-10+ years in DBA / Platform Engineering Should be ok to work 24x7 set up Work from Office – Hybrid – 3 days from office – Hyderabad Location 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: MySQL Secondary Database: PostgreSQL, SQLServer Database Backup & Recovery: Tools and strategies for database backups and disaster recovery.
- 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.
- Scripting and Automation Scripting Languages: Python, Shell scripting, Bash, PowerShell.
- Networking and Infrastructure Networking Basics: TCP/IP, DNS, Firewall, Load Balancers.
- 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.
- We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.
- If you have a disability or special need that requires accommodation, please let us know.
Benefits
- We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic.
Additional details
- Performance Tuning: Query optimization, indexing strategies, and database performance troubleshooting.
- Database Security: User management, roles, access control, and auditing. 2.
- 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.
- Infrastructure Automation: Automating database deployment, patching, and scaling. 5.
- Database Connectivity: Connection pooling, failover strategies, and multi-region deployment.
- Storage and Disk Management: Understanding IOPS, latency, and throughput. 6.