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 consistency
- 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
- Strong proficiency in Python
- 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
Tech Stack Area Technologies
- Scripting & Automation: Python, PHP/Hack, Bash
- APIs: GraphQL, REST, Thrift (RPC)
- Data & Pipelines: SQL, Hive/Presto (data warehouse), ETL tooling
- Monitoring & Dashboards: Time-series metrics, log analytics, custom dashboards
- Orchestration: Scheduled jobs, event-driven triggers
We’re so glad you’re here. Use this space to explore career opportunities, track your application, and take next steps with a global team that values people and progress. Astreya is a global IT managed services provider dedicated to creating technology solutions that are reliable and human-centered. We partner with the world’s most innovative organizations to optimize modern IT environments across the digital workplace, cloud, data, AI, and enterprise platforms. Our people are our strength. Across regions and roles, Astreyans bring deep expertise, curiosity, and a commitment to excellence. We believe great technology starts with great humans, which is why we invest in learning, collaboration, and career growth. At Astreya, transparency, accountability, and trust guide how we work with each other and our customers. We foster an inclusive culture where diverse perspectives are valued and everyone has the opportunity to make an impact. Join us to build solutions that matter and shape the future of IT together. Onwards and upwards!