Why this role stands out
This hybrid role offers a fantastic opportunity to shape the future of cloud-native platforms at a leading enterprise, leveraging your expertise in AWS, Kubernetes, and Terraform to drive significant impact and mentor fellow engineers. You'll thrive here if you're a mid-senior engineer eager to enhance developer experience and influence architectural decisions within a collaborative environment. Apply now to advance your career in platform engineering!
Quick overview
Job description
A leading Chicago-area enterprise is looking to hire a Lead Infrastructure Software Engineer to join their growing Platform Engineering team. In this role, you'll help build and scale cloud-native platforms, automation tools, and self-service capabilities that enable engineering teams to deploy and manage applications more efficiently. You'll work heavily with AWS, Kubernetes, Terraform, CI/CD pipelines, and modern cloud infrastructure while helping drive best practices across the organization.
This is an opportunity to make a broad impact by improving developer experience, influencing cloud architecture decisions, and building solutions used across multiple engineering teams. You'll also have the chance to mentor engineers, lead technical initiatives, and help shape the future of the company's platform capabilities.
Required Skills & Experience
- 5+ years of experience in Cloud, Platform Engineering, DevOps, or Infrastructure Engineering
- Hands-on experience with AWS and Kubernetes in production environments
- Strong experience with Infrastructure as Code using Terraform
- Experience building or supporting CI/CD pipelines and automation frameworks
- Programming experience with Python, Java, or similar languages
Desired Skills & Experience
- Experience building internal developer platforms or self-service tools
- Strong understanding of observability, monitoring, and cloud-native architectures
- Experience mentoring engineers and leading technical projects
- AWS certification(s) are a plus
- Experience working in large-scale enterprise cloud environments
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