Software Engineer Infrastructure Automation

Job Description:
We need someone with deep, hands-on experience deploying, managing, upgrading, and scaling Red Hat Ansible Automation Platform (AAP) in a large, distributed enterprise environment. The ideal candidate should have owned the platform engineering and administration of AAP end-to-end, rather than simply using it as an automation tool.

• Deployed AAP from scratch,
• Upgraded AAP versions,
• Multi-node / HA configuration,
• Mesh topology,
• Private Automation Hub setup,
• AAP platform lifecycle ownership

One of the coding languages Python or Go to design, develop, and maintain enterprise infrastructure automation solutions.
The ideal candidate will have strong experience automating large-scale infrastructure across storage, compute, network, cloud, and hybrid environments while developing scalable, reusable automation frameworks.
The ideal candidate has owned Red Hat Ansible Automation Platform (AAP) as a platform — deploying, upgrading, scaling, and administering it end-to-end — not simply using it as an automation delivery tool."
Key Responsibilities

• Design, develop, deploy, and maintain enterprise infrastructure automation solutions using Red Hat Ansible Automation Platform (AAP), including Automation Controller, Automation Hub, Execution Environments, Workflow Templates, and Job Templates.
• Develop reusable Ansible Playbooks, Roles, Collections, and Python automation to automate provisioning, configuration management, patching, compliance, monitoring, and operational workflows.
• Build REST API integrations and automation frameworks to integrate with enterprise platforms, cloud services, ITSM tools, and CI/CD pipelines.
• Collaborate with infrastructure, storage, compute, networking, cloud, and platform engineering teams to automate infrastructure lifecycle management across on-premises and cloud environments.
• Troubleshoot complex automation and infrastructure issues, perform code reviews, testing, validation, and deployments, and maintain technical documentation and automation best practices.
• Utilize Git, YAML, Jinja2, Shell scripting, Infrastructure as Code (IaC), Linux administration, and DevOps practices to deliver secure, scalable, and reliable automation solutions.
• Support automation for AWS, Azure, or GCP environments, monitoring and observability platforms, and enterprise infrastructure while driving continuous improvement and operational excellence.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• Strong hands-on experience with Red Hat Ansible Automation Platform (AAP) and/or Ansible automation in enterprise environments.
• Proficiency in Python and/or Go, Shell scripting, Linux, REST APIs, Git, and Infrastructure as Code (IaC).
• Strong troubleshooting, problem-solving, and communication skills.
• Experience with cloud platforms (AWS, Azure, or GCP) and DevOps/CI-CD practices is preferred.
• Hands-on experience deploying and installing Red Hat Ansible Automation Platform (AAP) from scratch in enterprise environments, including multi-node and high-availability configurations.
• Experience upgrading AAP across major versions, managing platform lifecycle, patching, and maintaining Automation Controller and Automation Hub.
• Designed and configured AAP mesh topology, including control nodes, execution nodes, and hop nodes in distributed enterprise environments.
• Administered Automation Hub including private automation hub setup, Collection publishing, approval workflows, and namespace management.
• Built and maintained custom Execution Environments (EEs) using ansible-builder, managing Python dependencies, Collections, and container registries.
• Configured enterprise-grade AAP integrations including LDAP/AD authentication, RBAC, credential management, and external secrets management.
• Experience with AAP backup, restore, and disaster recovery procedures.

Managed AAP at scale — 100 job templates, multiple inventories, dynamic inventory sources, and concurrent workflow automation