Senior Cloud Data Ops Engineer

Summary of Position

The 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.

Core DBA Responsibilities (SQL Server
• Postgres
• Oracle
• Timescale DB)

• Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR, and security hardening across SQL Server, Postgres, Oracle, and Timescale DB.
• 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 Timescale DB.
• 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, Big Query, 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, Cloud Watch, logs, metrics, traces).
• Participate in multi cloud operational readiness, incident response, and performance engineering.

Linux & Systems Engineering

• Manage and troubleshoot Linux based Postgres, Timescale DB, 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, Power Shell, 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.

• Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and Timescale DB.
• Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload optimization.
• Experience operating databases in GCP (CloudSQL, Big Query, GCE/GCVE) and/or AWS (RDS/Aurora).
• Solid Linux skills, including bash scripting and system level troubleshooting.
• Familiarity with observability and monitoring tools ( views, Query Store, Cloud Monitoring, Cloud Watch, 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.

• Experience with Terraform, Azure Dev Ops (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

EOE/M/F/Vets/Disabled