Overview
On Site
140k - 155k
Full Time
Skills
Electronic Commerce
Material Handling
Manufacturing
Sales
Distribution
Management
Continuous Integration
Continuous Delivery
Workflow
Mentorship
Kubernetes
Scratch
Terraform
Java
Golang
Kotlin
Databricks
Apache Kafka
DevOps
Data Engineering
Collaboration
Insurance
SAP BASIS
Job Details
A leading enterprise headquartered in the Chicago area is one of the largest e-commerce platforms in North America, specializing in industrial tools, material handling, and metalworking solutions. Their digital infrastructure supports a wide range of internal operations across manufacturing, sales, and distribution. With a high retention rate and consistently strong workplace ratings, this is a tech-forward environment where engineers tend to stay and grow.
This role involves managing large-scale data environments, deploying CI/CD pipelines, refining data workflows, and driving automation and reliability across platforms. You'll take the lead on monitoring and alerting strategies, contribute to building out data observability, and mentor other engineers as the team shifts toward a more modern, scalable approach to data operations.
Required Skills & Experience
What You Will Be Doing
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This role involves managing large-scale data environments, deploying CI/CD pipelines, refining data workflows, and driving automation and reliability across platforms. You'll take the lead on monitoring and alerting strategies, contribute to building out data observability, and mentor other engineers as the team shifts toward a more modern, scalable approach to data operations.
Required Skills & Experience
- 7+ years of professional experience
- Building Kubernetes clusters from scratch
- GitOps, Terraform, and other modern DevOps tools
- Coding development experience in Java, Golang, or Kotlin
- Data experience in Databricks and Kafka
What You Will Be Doing
Tech Breakdown
- 40% DevOps
- 30% Software
- 20% Data Engineering
- 70% Hands On
- 30% Team Collaboration
The Offer
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.