Database Reliability Engineer (SQL & Cloud Platforms)
SolarWindsCork, IrelandPosted 14 April 2026
Tech Stack
Job Description
At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!
We work in a hybrid mode 3+2 , with a minimum of 3 days at the office (with mandatory Tuesdays and Wednesdays) and a maximum of 2 days at the home office.
The location of our
office
is
Unit 1101, Building 1000, Cork (city), Munster .
We employ only via an employment contract – full-time employment.
Overview :
The Database Reliability Engineer (DRE) is responsible for ensuring the reliability, scalability, and performance of both legacy and modern data platforms. This role covers installing, monitoring, maintaining, and optimizing Microsoft SQL Server instances (on-prem and in Azure), while also expanding into modern data ecosystems such as Databricks, Google Cloud Platform (GCP), and cloud-native data lakes and warehouses. The DRE will report to Director of IT and will work closely with Engineering, Data, and Business Intelligence teams to enable seamless data delivery and platform reliability across hybrid environments.
Duties and Responsibilities
Monitor and optimize database performance, availability, and security across SQL Server, Azure SQL, and cloud data platforms.
Troubleshoot and resolve performance issues, service interruptions, and incidents impacting Engineering and Data teams.
Support and evolve hybrid environments (on-prem SQL Server, Azure SQL, GCP BigQuery, Databricks Delta Lake).
Design and implement data reliability, observability, and monitoring strategies using modern tooling (e.g., Prometheus, Grafana, Azure Monitor, GCP Operations Suite).
Apply OS updates, patches, and cumulative updates to SQL Server VMs (Always-On Availability Groups), ensuring consistency across environments.
Automate database operations and deployment pipelines (IaC, CI/CD, scripting with PowerShell, Python, Terraform, or similar).
Implement and monitor regular database maintenance tasks, including backups, restores, and database consistency checks, to ensure data integrity and availability.
Manage data replication, synchronization, and migrations across on-prem and cloud environments.
Support data lake and warehouse integrations, optimizing pipelines for BI, analytics, and machine learning workloads.
Define and enforce data access, governance, and security best practices across hybrid data environments.
Perform disaster recovery planning and testing across SQL Server, Azure SQL, and cloud-native storage systems.
Deploy and validate scripts and data models across environments, ensuring adherence to design and compliance standards.
Create and maintain documentation for both legacy and modern database platforms.
Act as a point of contact for database and data platform service requests, providing technical support and guidance to internal stakeholders.
Stay current with industry trends in data reliability engineering, cloud platforms, and automation
Qualifications
Bachelor’s degree in Computer Science, Information Systems, or related field.
Required: Minimum 3 years of experience in MS SQL Server database administration and T-SQL programming (including Azure SQL).
Experience managing GCP BigQuery (Delta Lake, Spark SQL) and/or Azure.
Familiarity w ... (truncated, view full listing at source)
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