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CO Lead Site Reliability Engineer, Data- FreeWheel Comcast Site Reliability In listing 9d ago

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Devopsroles
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 152020 - 228030 USD Yearly USD 152020.00 228030.00 YEAR
Job Description & How to Apply Below

Free Wheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Free Wheel is seeking an experienced Data SRE to join the Free Wheel Data SRE team. As a member of the Global Operation team, you will be responsible for ensuring the reliability, scalability, and performance of our data systems. Working closely with data engineers and other operation sub-teams, you will manage our data infrastructure, optimize system reliability, automate daily operations, and resolve technical issues that impact our data pipelines and backend data platforms.

Job Description
Key Responsibilities:
System Monitoring and Optimization
  • Design and implement monitoring and alerting systems to ensure the stability, reliability, and performance of data platforms.
  • Quickly respond to and resolve issues impacting data pipelines or storage layers.
Automation and Tool Development
  • Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
Performance Optimization
  • Analyze and optimize the performance of data storage, query performance, and data flows.
  • Ensure efficient processing of large-scale datasets.
  • Reduce latency and improve processing speed.
Incident Response and Troubleshooting
  • Respond quickly to data platform failures.
  • Perform troubleshooting and coordinate cross-team efforts to resolve issues.
  • Ensure high availability and reliability of data platforms.
Capacity Planning and Scaling
  • Work with data engineering teams to analyze and forecast capacity requirements.
  • Ensure systems can accommodate data growth and scale infrastructure accordingly.
Documentation and Knowledge Sharing
  • Document the architecture, configurations, and operational procedures for data platforms.
  • Share operational knowledge across the team and provide relevant training.
Security and Compliance
  • Ensure data platforms meet security standards and compliance requirements.
  • Prevent data breaches, unauthorized access, and misuse of data.
Cross-Team Collaboration
  • Collaborate with data science, product, and development teams.
  • Support data product design and implementation efforts.
  • Resolve reliability-related issues and improve platform stability.
Qualifications
  • At least 10+ years of experience as an SRE, Dev Ops, or Data Operations Engineer.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Familiarity with modern data architectures and technologies including Kafka, Hadoop, Spark, Cassandra, HDFS, and AWS S3.
  • Extensive experience in database management including No

    SQL, 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.
  • Strong troubleshooting and debugging skills.
  • Excellent communication skills with technical and non-technical stakeholders.
  • Education:

    Bachelor’s degree or higher in Computer Science, Software Engineering, ora related field.
Additional Preferred Skills
  • Experience with Aerospike, Kafka, Snowflake, and other big data technologies.
  • Familiarity with containerization,microservices architecture, and Kubernetes.
  • Experience designing andmaintaininglarge-scale distributed systems.
  • Experience in data quality management, data governance, or ETL pipelines.

Disclaimer:
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Amazon Web Services (AWS), Apache Kafka, Python (Programming Language)

Compensation

Virginia Pay Range: $ - $This job can be performed in Illinois, and New York City with a Pay Range of $ - $Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an…

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