- 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
- 40% DevOps
- 30% Software
- 20% Data Engineering
- 70% Hands On
- 30% Team Collaboration
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Company
Location
Chicago, Illinois - United States of America
Job type
Full-Time
Golang 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
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.
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.
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