Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Englewood, CO, United States
Posted
Yesterday
Job Description
Take on a crucial role as a Wireless Engineer III, where you'll architect, implement, and maintain automation workflows for a complex, multi-platform infrastructure. Bring your expertise with Linux systems, Ansible, and Terraform to streamline deployment and operations, while also supporting essential database environments such as Cassandra and Oracle.
Required Skills & Experience
Desired Skills & Experience
Tech Breakdown
Daily Responsibilities
Required Skills & Experience
- Strong experience with Ansible (playbooks/roles) and Terraform (modules/state management)
- Hands-on Linux systems administration (RHEL, CentOS, Ubuntu or equivalent)
- Practical experience with Cassandra and Oracle databases (operational support, querying, troubleshooting)
- Proficiency using AI development tools (e.g., Copilot, Claude), while validating all results independently
- Scripting ability (Bash, Python, etc.) for automation and tooling
- Familiarity with Git, CI/CD concepts, and infrastructure as code principles
- Excellent problem-solving, troubleshooting, and documentation skills
Desired Skills & Experience
- Basic knowledge of Wi-Fi networking (SSIDs, access points, wireless protocols)
- Experience with other config management/IaC tools (Puppet, Chef, CloudFormation)
- Exposure to cloud platforms (AWS, Azure, Google Cloud Platform) and observability/monitoring tools
Tech Breakdown
- 45% Automation Development (Ansible, Terraform, scripting)
- 25% Linux System Administration & Troubleshooting
- 15% Database Support (Cassandra, Oracle)
- 15% Collaboration, Documentation & Cross-team Delivery
Daily Responsibilities
- Design and develop automation playbooks and infrastructure modules
- Administer Linux systems and support operational tasks
- Maintain and troubleshoot Cassandra and Oracle database environments
- Integrate automation with CI/CD workflows and version control (Git)
- Document code, processes, and handoffs for long-term maintainability
- Use AI code assistants to improve efficiency and code quality, while retaining ownership and oversight
- Collaborate across teams to deliver solutions and troubleshoot failures/configuration issues
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