Senior Data Platform Reliability Engineer

Comcast Resume; Chicago (IL); On-site; USD 118,000 - 176,000; Full time

Job summary

FreeWheel, a Comcast company, is seeking an experienced Data SRE to join the Global Operation team. You will ensure reliability, scalability, and performance of data systems, collaborating with data engineers and other teams to manage data infrastructure and automate daily operations.

Responsibilities include monitoring, automation, capacity planning, incident response, and cross-team collaboration. A Bachelor’s degree and 8+ years’ experience are expected, with AWS, Kubernetes, and CI/CD

Qualifications

• 8+ years of experience as an SRE, DevOps, or Data Operations Engineer.
• Experience with cloud platforms (AWS, GCP, Azure).
• Extensive experience in database management (NoSQL, MySQL, PostgreSQL).
• Proficiency with automation tools/frameworks (Ansible, Terraform, Kubernetes, Docker).
• Strong experience with modern CI/CD pipelines.
• Programming skills in Python, Go, Java, or Scala for automation.
• Experience using monitoring/log management tools (Prometheus, Grafana, ELK Stack).
• Excellent communication skills and ability to convey technical concepts.

Responsibilities

• System monitoring and optimization of data platforms.
• Automation and tool development for deployment, monitoring, backup, and DR.
• Performance optimization of data storage, queries, and data flows; reduce latency.
• Incident response and cross-team troubleshooting to maintain availability.
• Capacity planning to accommodate data growth and scale infrastructure.
• Documentation of architecture, configurations, and operational procedures.

Skills

AWS

Kubernetes

Python

CI/CD

Automation

Go/Java/Scala

Monitoring

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Docker

Prometheus

Grafana

ELK Stack

Ansible

Terraform

Job description

FreeWheel, a Comcast company, is seeking an experienced Data SRE to join the Global Operation team. You will ensure reliability, scalability, and performance of data systems, collaborating with data engineers and other teams to manage data infrastructure and automate daily operations.

Responsibilities include monitoring, automation, capacity planning, incident response, and cross-team collaboration. A Bachelor’s degree and 8+ years’ experience are expected, with AWS, Kubernetes, and CI/CD