Principle Infrastructure Engineer

Cloud-•Oakland Park, FL

12d•$143,957 - $259,122•Onsite

About The Position

A Principal Infrastructure Automation Engineer is a senior technical leader who designs, develops, and implements large-scale, automated solutions to streamline IT operations and manage complex infrastructure environments. This role balances deep technical expertise with strategic planning and mentorship responsibilities.

Requirements

Experience: Typically requires 10+ years of experience in software development, IT automation, and/or infrastructure engineering.
Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is often required.
Automation Tools: Extensive experience with tools like Ansible, Puppet, Chef, Terraform, or AWS CloudFormation.
Programming/Scripting: Strong skills in languages such as Python, Java, PowerShell, or Bash for automation and tooling.
Cloud Platforms: Expertise in managing scalable and reliable cloud infrastructure in environments such as AWS, Azure, or Google Cloud Platform (GCP).
DevOps Tools: Proficiency with CI/CD pipelines, Docker, Kubernetes, and monitoring tools like Prometheus or Grafana.
Exceptional problem-solving, analytical, and critical thinking skills.
Strong communication and leadership abilities, with a proven ability to influence senior levels and build alignment across teams.
Strong project management skills to manage complex, large-scale projects from concept to completion.

Responsibilities

Strategic Leadership: Define the strategy and long-term goals for automation and control systems across the organization. This includes evaluating and recommending automation tools and technologies and ensuring alignment with business objectives.
Architecture & Design: Lead the design and development of robust, scalable, and secure automation frameworks and infrastructure blueprints (often using Infrastructure as Code principles).
Implementation & Execution: Oversee the implementation of automation solutions for provisioning, configuration management, and application deployment, often within CI/CD pipelines. This may involve managing projects, budgets, and external vendors.
Technical Expertise & Troubleshooting: Serve as the subject matter expert (SME) for highly complex issues, performing root-cause analysis and providing technical consultation.
Mentorship & Collaboration: Mentor and guide junior engineers and cross-functional teams (e.g., SREs, QA, and product teams) on automation best practices, code quality, and design patterns.
Compliance & Security: Ensure all automated systems comply with internal security standards and external regulatory requirements (e.g., FDA, ISO, FedRAMP, specific industry regulations).
Monitoring & Improvement: Implement comprehensive monitoring and logging systems, using the gathered data to drive continuous improvement in efficiency, reliability, and performance.