Staff Database Reliability Engineer ( PostgreSQL + Cloud)- Remote

About the role

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 6-8 years in DBA / Platform Engineering 5+ yrs of relevent experience in PostgreSQL Should be ok to work 24x7 set up Work from Home / Remote Work - 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: PostgreSQL Secondary Database: MySQL, SQLServer 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. 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: Clear 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 We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. 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. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mi

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