Lead Site Reliability Engineer, Data- FreeWheel

Comcast

Quick summary

Work type
On-site
Location
Reston, VA
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k
$138k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $160,300–$212,375.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Lead Site Reliability Engineer, Data- FreeWheel

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FreeWheel is seeking a Lead Site Reliability Engineer to join its Data SRE team within the Global Operations division. This senior-level role involves ensuring the reliability, scalability, and performance of FreeWheel’s data systems by designing monitoring and alerting systems, automating daily operations, and optimizing system performance. The ideal candidate will have extensive experience with cloud platforms like AWS, familiarity with modern data architectures including Kafka and Hadoop, and proficiency in tools such as Ansible, Terraform, Kubernetes, and Docker. Programming skills in Python, Go, Java, or Scala are essential, along with strong troubleshooting abilities and the capacity to collaborate effectively across teams to resolve technical issues and enhance platform stability.

Skills

AWS Kubernetes Terraform Python Go Docker Prometheus Grafana Ansible Apache Kafka Hadoop Spark Cassandra HDFS S3 NoSQL MySQL PostgreSQL ELK Stack Aerospike Snowflake

What you'll do

  • Design and implement monitoring systems for data platforms 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 10+ years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Extensive experience with cloud platforms and modern data architectures (AWS, Kafka, Hadoop).
  • Proficiency in database management including NoSQL, MySQL, PostgreSQL.
  • Expertise in automation tools like Ansible, Terraform, Kubernetes, Docker.
  • Strong troubleshooting skills and familiarity with monitoring tools (Prometheus, Grafana).
  • Programming skills in Python, Go, Java, or Scala.
  • Bachelor’s degree in Computer Science, Software Engineering, or related field.

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