Database Reliability Engineer

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

For a Site Reliability Engineer (SRE) in a DBaaS (Database-as-a-Service) support role, the following mandatory skills are typically required:

• 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.

• Cloud Platforms: AWS (RDS, Aurora), Azure (Cosmos DB, SQL Database), GCP (Cloud SQL, Firestore).
• Infrastructure as Code (IaC):
  Terraform, Cloud Formation, 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.

• Incident Management:
  Handling database outages, incident response, and on-call rotations.
• Monitoring and Alerting:
  Tools like Prometheus, Grafana, Datadog, Cloud Watch.
• 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.

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

• 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.

Expertise in Linux OS (RHEL, Ubuntu, 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, 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.

• 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.

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

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. If you have a disability or special need that requires accommodation, please let us know.