Senior Site Reliability Engineer, Data

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Reston, VA
Salary
$128,830–$193,245 / yr
Posted
79 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $161k
$117k most similar roles pay here $237k

This role pays less than 71% of similar roles. Most pay $150,000–$214,000 — the shaded band above. At the midpoint, this role pays about $161k versus about $182k for comparable roles.

Based on 238 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 84 open roles on FindRole.

Listed pay typically runs $137,369–$206,053 across 58 roles with salary data.

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View all roles at Comcast

At a glance

TL;DR · Senior Site Reliability Engineer, Data

Sr. Site Reliability Engineer, Data - FreeWheel joins the Global Operation team to ensure the reliability, scalability, and performance of data systems. This role involves managing data infrastructure, optimizing system reliability, automating daily operations, and resolving technical issues impacting data pipelines and backend platforms. You will design monitoring and alerting systems, develop automation tools for deployment and disaster recovery, perform capacity planning, and manage security compliance. The work focuses on the core problem of maintaining high availability for large-scale datasets and distributed storage. Required skills include experience with cloud platforms like AWS, big data technologies such as Kafka, Hadoop, Spark, and Snowflake, along with database management in MySQL, PostgreSQL, or NoSQL systems. You will utilize tools like Ansible, Terraform, Kubernetes, Docker, Prometheus, Grafana, and the ELK Stack while programming in Python, Go, Java, or Scala.

What does a Site Reliability Engineer earn?

Median $186200 from 131 postings across 36 companies.

See salary data

What you'll do

  • Design and implement monitoring and alerting systems to ensure data platform stability and performance.
  • Develop and maintain automation tools for deployment, backup, recovery, and disaster recovery of data systems.
  • Analyze and optimize the performance of data storage, query execution, and large-scale data flows.
  • Respond to and resolve technical issues impacting data pipelines, storage layers, and backend platforms.
  • Forecast capacity requirements and scale infrastructure to accommodate growing data volumes.
  • Document architecture, configurations, and operational procedures for internal knowledge sharing.
  • Ensure all data platforms meet security standards and compliance requirements to prevent unauthorized access.

What we're looking for

  • At least 8 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 such as AWS, GCP, or Azure.
  • Familiarity with big data platforms (Kafka, Hadoop, Spark) and distributed storage (Cassandra, HDFS, S3).
  • Extensive experience in database management including NoSQL, MySQL, and PostgreSQL.
  • Proficiency in automation tools and frameworks like Ansible, Terraform, Kubernetes, and Docker.
  • Programming skills in Python, Go, Java, or Scala to write efficient scripts and automation tools.
  • Experience with monitoring and log management tools such as Prometheus, Grafana, and ELK Stack.

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