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We are seeking an Infrastructure Automation Engineer to design and implement self-healing infrastructure solutions powered by AI, RPA, and orchestration tools. This role is centered on event-driven automation-integrating Ansible, AI models, and infrastructure platforms to transition from manual operations to intelligent, automated workflows.
Key Responsibilities
Develop AI-enabled automation workflows for incident detection, analysis, and remediation
Build event-driven automation pipelines following the Detect → Analyze → Trigger → Remediate model
Integrate large language models (e.g., OpenAI, Claude) for intelligent decision-making and root cause analysis
Infrastructure Automation (Core Focus)
Develop Ansible playbooks for automated remediation and configuration management
Automate infrastructure across Unix, Windows, Network, and Firewall domains
Integrate with orchestration tools such as Ansible Tower and REST APIs
Work with APIs (e.g., NetBackup) and perform system integration to enable end-to-end automation
Integration & Platform Engineering
Integrate monitoring tools (Elastic, Dynatrace), CMDB (Device42), and AI platforms (OpenAI, Claude)
Build a cohesive end-to-end AI + automation ecosystem across multiple tools and platforms
Collaboration & Enablement
Partner closely with infrastructure platform teams to develop shared automation capabilities
Drive the Build → Upskill → Transfer model to empower domain teams with automation skills
Requirements
Technical Skills
Strong hands-on experience with Ansible and automation scripting
Proficiency in Python and scripting languages
Solid understanding of infrastructure systems-Unix, Windows, and Networking
Good knowledge of APIs, system integration, and event-driven architecture
Exposure to AI/LLM integration (e.g., OpenAI) and RPA tools (e.g., UiPath)
Experience with AIOps and observability tools (Elastic, Dynatrace)
Proven track record in infrastructure automation at enterprise scale
Ability to bridge infrastructure, AI, and automation seamlessly
Interested candidates please email your latest resume to [Confidential Information]
Job ID: 149759227
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