Network Automation Engineer II

๐Ÿข Astreya ยท all Astreya jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 72,960 - 115,200 / annual
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Network-Automation-Engineer,Automation-Engineer,Data-Engineer,DevOps-Engineer,ETL-Engineer,Network-Automation-Engineering,Network-Engineering-and-Automation
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Automation Engineer โ€” Network Partner Data Platform

About the Role

Client's global network infrastructure relies on thousands of external partners โ€” 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

โ— Design and implement automated workflows for partner onboarding, contact updates,

service renewals, and data lifecycle management

โ— Create self-service tools that allow operations teams to perform bulk data operations
without needing engineering support

โ— Build automated alerting for stale data, missing information, or expiring service
agreements
Develop Data Pipelines & Integrations

โ— Build ETL pipelines that synchronize partner data across multiple internal systems

โ— Automate the migration of legacy data from spreadsheets, wikis, and siloed
databases into the centralized platform

โ— Develop reconciliation scripts to detect discrepancies between systems and maintain
data consistency
Automate Operational Processes

โ— Build tools that auto-retrieve relevant partner contacts during network incidents,
reducing response time

โ— Create automated escalation and outreach workflows triggered by network events

โ— Develop runbook automation to standardize and speed up repetitive operational
tasks
Monitor & Report

โ— Build dashboards tracking data quality, freshness, and platform adoption

โ— Implement automated health checks and audit scripts to detect duplicates, orphaned
records, or incomplete entries

โ— Create scheduled reports for leadership on automation ROI and data integrity metrics
What We're Looking For
Required:

โ— 3+ years experience in automation engineering, data engineering, or DevOps

โ— Strong proficiency in Python (scripting, API integrations, data manipulation)

โ— Experience building and consuming APIs (REST and/or GraphQL)

โ— Familiarity with SQL and data pipeline/ETL concepts

โ— Experience with job scheduling and orchestration tools (Airflow, cron, or similar)

โ— Understanding of data quality principles (validation, deduplication, reconciliation)

โ— Comfortable working with large datasets across multiple source systems

โ— Strong problem-solving skills and ability to work independently
Preferred:

โ— Experience with PHP or Hack (server-side scripting)

โ— Familiarity with graph databases or relationship/entity management systems

โ— Experience with CRM, MDM (Master Data Management), or vendor management
platforms

โ— Understanding of network infrastructure concepts (ISPs, peering, colocation, Points
of Presence)

โ— Experience with Thrift or similar RPC frameworks

โ— Background in telecom, network operations, or infrastructure services

โ— 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
Salary Range
$72,960.00 - $115,200.00 USD (Salary)
- Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.

- Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certification

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