Rackspace US, Inc.
Staff Database Reliability Engineer ( PostgreSQL + Cloud)- Remote
Vaga remota de Database Reliability Engineering com fit claro de localização do candidato.
Publicada13 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Índia
Resumo da vaga
Staff Database Reliability Engineer ( PostgreSQL + Cloud)- Remote
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Role Summary
- Microsoft Azure
- Amazon Web Services
- Google Cloud Platform
🔹 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
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.
Vagas similares
Mantenha uma lista reserva.
Stack
Use estas tags para comparar vagas remotas similares.
Elegibilidade de localização
Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.
Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.
Fluxo de contratação
O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.
1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.