DevOps Engineer
Summary
Build automation, data pipelines, and monitoring for a centralized platform managing global network partner relationships and service data.
based on site 5 days a week in Dublin, not remote working
About the Role
Client's global network infrastructure relies on thousands of external partners — internet service providers (ISPs), colocation facilities, hardware vendors, and managed service providers. We're building a centralized platform to manage all of these relationships, contacts, and service data in one place.
What You'll Do
- Build Workflow Automation
- Design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management
- Create self-service tools that allow operations teams to perform bulk data operations without needing engineering support
- Build automated alerting for stale data, missing information, or expiring service agreements
- Develop Data Pipelines & Integrations
- Build ETL pipelines that synchronize partner data across multiple internal systems
- Automate the migration of legacy data from spreadsheets, wikis, and siloed databases into the centralized platform
- Develop reconciliation scripts to detect discrepancies between systems and maintain data integrity
- Automate Operational Processes
- Build tools that auto-retrieve relevant partner contacts during network incidents, reducing response time
- Create automated escalation and outreach workflows triggered by network events
- Develop runbook automation to standardize and speed up repetitive operational tasks
- Monitor & Report
- Build dashboards tracking data quality, freshness, and platform adoption
- Implement automated health checks and audit scripts to detect duplicates, orphaned records, or incomplete entries
- Create scheduled reports for leadership on automation ROI and data integrity metrics
What We're Looking For
Required
- 3+ years experience in automation engineering, data engineering, or DevOps
- Strong proficiency in Python (scripting, API integrations, data manipulation)
- Experience building and consuming APIs (REST and/or GraphQL)
- Familiarity with SQL and data pipeline/ETL concepts
- Experience with job scheduling and orchestration tools (Airflow, cron, or similar)
- Understanding of data quality principles (validation, deduplication, reconciliation)
- Comfortable working with large datasets across multiple source systems
- Strong problem-solving skills and ability to work independently
Preferred
- Experience with PHP or Hack (server-side scripting)
- Familiarity with graph databases or relationship/entity management systems
- Experience with CRM, MDM (Master Data Management), or vendor management platforms
- Understanding of network infrastructure concepts (ISPs, peering, colocation, Points of Presence)
- Experience with Thrift or similar RPC frameworks
- Background in telecom, network operations, or infrastructure services
- Experience automating processes in a large-scale enterprise environment
Area Technologies
- Scripting & Automation Python, PHP/Hack, Bash
- Data & Pipelines SQL, Hive/Presto (data warehouse), ETL tooling
- Monitoring & Dashboards Time-series metrics, log analytics, custom
- Orchestration Scheduled jobs, event-driven triggers