Lead Site Reliability Engineer, Data

Comcast

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Reston, VA
Salary
$152,020–$228,030 / yr
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $190k
$132k $238k
below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $143,875–$214,250 — the blue band above. At the midpoint, this role pays about $190k versus about $179k 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 64 open roles on FindRole.

Listed pay typically runs $141,850–$204,799 across 58 roles with salary data.

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At a glance

TL;DR · Lead Site Reliability Engineer, Data

The Lead Site Reliability Engineer, Data joins the FreeWheel Data SRE team within the Global Operation department. This role focuses on ensuring the reliability, scalability, and performance of data systems and backend data platforms. You will design monitoring and alerting systems, develop automation tools for deployment and disaster recovery, and optimize data storage and query performance for large-scale datasets. Key responsibilities include incident response, capacity planning, and collaborating with data science and product teams to support data product design. Required technical skills include experience with AWS, GCP, or Azure, and technologies such as Kafka, Hadoop, Spark, Cassandra, HDFS, and S3. You must be proficient with Ansible, Terraform, Kubernetes, Docker, and programming languages like Python, Go, Java, or Scala to manage complex distributed systems.

What you'll do

  • Design and implement monitoring and alerting systems to ensure data platform stability and performance.
  • Develop and maintain automation tools and scripts for deployment, backup, and disaster recovery.
  • Analyze and optimize data storage, query performance, and large-scale data flows to reduce latency.
  • Respond to and troubleshoot data platform failures to ensure high availability and reliability.
  • Forecast capacity requirements and scale infrastructure to accommodate data growth.
  • Document architecture, configurations, and operational procedures for all data platforms.
  • Ensure data platforms meet security standards and compliance requirements to prevent unauthorized access.

What we're looking for

  • At least 10+ years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
  • Experience with cloud platforms including AWS, GCP, or Azure.
  • Familiarity with modern data architectures including Kafka, Hadoop, Spark, Cassandra, HDFS, and AWS S3.
  • Extensive experience in database management including NoSQL, MySQL, and PostgreSQL.
  • Proficiency with Ansible, Terraform, Kubernetes, and Docker.
  • Programming skills in Python, Go, Java, or Scala.
  • Experience with Prometheus, Grafana, ELK Stack, or similar tools.

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