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Senior Cloud Data Ops Engineer

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quincy, ma • Posted 4 days ago
Hybrid Full Time IT & Technology

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.

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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