GoLang Software Engineer, Ads Measurement Platform

Comcast

Chicago (IL)

On-site

USD 110,000 - 165,000

Full time

12 days ago
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Job summary

Comcast in Chicago is seeking an experienced software engineer to design, build, and deliver scalable measurement platforms used by advertisers, publishers, and partners. You will work across data clean room technologies, cloud environments, and APIs to enable attribution, reach, and frequency analysis.

As an IC with collaboration across product, architecture, SRE, QA, and end-users, you will contribute to cloud-native solutions, containerized microservices, automated tests, and robust

Qualifications

  • 3+ years of hands-on GoLang programming experience.
  • Experience with microservices and Kubernetes/EKS.
  • Exposure to one major cloud provider (AWS/Azure/GCP/OCI).
  • Knowledge of CI/CD tools such as Jenkins, GitHub Actions, Terraform.
  • Strong SQL skills and exposure to data platforms.

Responsibilities

  • Gather requirements with Product Management and Engineering leadership.
  • Build scalable measurement infrastructure for optimization.
  • Apply attribution and performance models to quantify campaign outcomes.
  • Create APIs, reporting, and user interfaces for measurement data.
  • Develop automated unit and integration tests and maintain code quality.

Skills

GoLang
Kubernetes
Cloud platforms
CI/CD
SQL
Testing
Collaboration
Debugging
AdTech
Go-to-market knowledge

Education

Bachelor's degree

Tools

GitHub Actions
Terraform
Jenkins
Datadog
ELK
JIRA
Confluence

Job description

Comcast in Chicago is seeking an experienced software engineer to design, build, and deliver scalable measurement platforms used by advertisers, publishers, and partners. You will work across data clean room technologies, cloud environments, and APIs to enable attribution, reach, and frequency analysis.

As an IC with collaboration across product, architecture, SRE, QA, and end-users, you will contribute to cloud-native solutions, containerized microservices, automated tests, and robust

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