Summary of Position:
he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds.
Duties and Responsibilities:
Core DBA Responsibilities (SQL Server • Postgres • Oracle • TimescaleDB)
- Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR,
and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.
- Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O
profiling.
- Optimize relational and time series workloads, including hypertables, chunk management, retention
policies, and compression strategies in TimescaleDB.
- Implement schema changes, index strategies, and query rewrites to improve workload efficiency.
- Support database lifecycle management across on prem, GCVE, and cloud native platforms
- Partner with application, analytics, and engineering teams to optimize database driven workloads.
Cloud Native Data Platform Operations (GCP & AWS)
- Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL
Server.
- Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency.
- Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud
services.
- Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces).
- Participate in multi cloud operational readiness, incident response, and performance engineering.
Linux & Systems Engineering
- Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments.
- Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance.
- Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable.
Automation & Cloud Data Ops Engineering
- Automate DBA and operational tasks using bash, PowerShell, or Python.
- Contribute to CI/CD workflows and infrastructure automation (Terraform preferred).
- Improve reliability through scripting, monitoring, alerting, and self service tooling.
- Participate in on call rotations for critical data systems.
Required Qualifications:
- Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB.
- Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload
optimization.
- Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora).
- Solid Linux skills, including bash scripting and system level troubleshooting.
- Familiarity with observability and monitoring tools (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.).
- Ability to support mission critical production systems in a multi cloud environment.
- Strong understanding of DBA fundamentals applied in cloud native and time series contexts.
Preferred Qualifications:
- Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling.
- Exposure to EKS, GKE, or other Kubernetes platforms.
- Familiarity with Docker and containerized database operations.
- Experience with OCI or Oracle Cloud services.
- Background in cloud migration, modernization, or hybrid cloud architectures
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