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# Infrastructure Automation Engineer

- **Company:** ClearBridge Technology Group
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Unit Testing, Code Review, Linux, Disk Arrays, Perl (Programming Language), Github, Monitoring of Systems, JSON, Jinja (Template Engine), Python (Programming Language), PostgreSQL, PowerCLI, Windows PowerShell, Ansible, Secure Coding, SQLite, SQL Databases, YAML, Data Logging, Delivery Pipeline, Git, Fastapi, Pytest, Templating, Infrastructure Automation Frameworks, Restful APIs, Pagination, Data Pipelines, Vmware
- **Published:** September 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9166462/infrastructure-automation-engineer

## About the Role

* Senior level production Python engineering experience (packaging, standard logging, type annotations, concurrency, requests, and paramiko)
 * Proficient in advanced functions, classes, and REST API interaction (Invoke-RestMethod). Experience with VMware PowerCLI is required.
 * Strong grasp of roles, collections, Jinja2 templating, Ansible Vault, and writing custom modules.
 * Deep experience building isolated, mocked test suites using pytest and Pester.
 * Expert-level capability in consuming complex REST APIs, handling pagination, rate limits, and manipulating JSON/YAML.
 * Proficiency with Git/GitHub workflows and writing read-only queries in SQL/SQLite/PostgreSQL.
 * Ability to read, understand, and safely retire legacy Perl scripts.

## Description

Our client, a large professional services firm, is looking to hire a remote Infrastructure Automation Engineer for a 3-month contract. The consultant will work to replace manual infrastructure processes with production-ready, unattended Python and PowerShell automation pipelines. The candidate will be writing secure code against diverse vendor APIs, expanding unit test coverage, and implementing robust observability (dashboards and alerting)., * Convert manual or legacy infrastructure workflows into scheduled, production-ready Python applications and data pipelines.

 * Develop and maintain client code interacting with storage array, SAN fabric, backup, ITSM, and secrets-management APIs.
 * Instrument all delivered automation with logging, telemetry, and enterprise monitoring dashboards to eliminate silent failures.
 * Build and scale mocked unit test suites to maintain high coverage; actively participate in peer and AI-assisted code reviews.
 * Package and deploy scripts to Windows and Linux automation servers under strict change control. Deliver architecture records, READMEs, and knowledge transfer sessions to SME teams.


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