Senior Site Reliability Engineer, Data

Comcast

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$117,627–$176,441 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $147k
$105k most similar roles pay here $232k

This role pays less than 75% of similar roles. Most pay $147,475–$213,962 — the shaded band above. At the midpoint, this role pays about $147k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 75 open roles on FindRole.

Listed pay typically runs $117,627–$195,998 across 39 roles with salary data.

Most-posted roles

View all roles at Comcast

At a glance

TL;DR · Senior Site Reliability Engineer, Data

Role Posting Log in to save

FreeWheel is hiring a Senior Site Reliability Engineer to join its Data SRE team within the Global Operations division. This role involves ensuring the reliability and scalability of data systems by designing monitoring tools, automating operations, optimizing performance, and resolving technical issues that affect data pipelines and backend platforms. The ideal candidate will have extensive experience with cloud platforms like AWS, database management, automation frameworks such as Ansible and Kubernetes, and modern CI/CD pipelines. Programming skills in Python or Go are essential for developing efficient scripts and tools. Additionally, proficiency in monitoring tools like Prometheus and Grafana is required to maintain high system availability and security compliance. The position demands strong collaboration with data science and engineering teams to support product design and implementation while documenting operational procedures and sharing knowledge across the organization.

Skills

AWS Kubernetes Terraform Python Go Docker CI/CD Prometheus Grafana PostgreSQL MySQL Ansible NoSQL Java Scala ELK Stack

What you'll do

  • Design and implement monitoring systems to ensure data platform stability.
  • Develop automation tools for deployment, backup, and disaster recovery of data systems.
  • Analyze and optimize performance of large-scale datasets to reduce latency.
  • Respond quickly to data platform failures and coordinate cross-team resolutions.
  • Plan capacity requirements and scale infrastructure to accommodate data growth.

What we're looking for

  • At least 8 years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Extensive experience with cloud platforms (AWS, GCP, Azure) and database management.
  • Proficiency in automation tools like Ansible, Terraform, Kubernetes, Docker for data systems.
  • Strong troubleshooting skills to quickly resolve production issues.
  • Programming skills in Python, Go, Java, or Scala for efficient script writing.
  • Experience using monitoring tools such as Prometheus, Grafana, and ELK Stack.
  • Bachelor’s degree in Computer Science, Software Engineering, or related field.

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