Lead Site Reliability Engineer, Data- FreeWheel

Comcast • Reston, VA

2d

About The Position

FreeWheel, a Comcast company, is seeking an experienced Data Site Reliability Engineer to join its Data SRE team within the Global Operation team. The role is responsible for the reliability, scalability, and performance of data systems. Working closely with data engineers and other operations sub-teams, the engineer will manage data infrastructure, optimize reliability, automate operational tasks, and resolve technical issues affecting data pipelines and backend data platforms.

The position covers monitoring and alerting, automation, performance optimization, incident response, capacity planning, documentation, security and compliance, and cross-team collaboration. The engineer will help maintain highly available data platforms, efficiently process large-scale datasets, and support data product design and implementation. Comcast indicates that the role’s duties and qualifications are general and may not constitute a comprehensive inventory.

Requirements

• At least 10 years of experience as an SRE, DevOps, or Data Operations Engineer.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with data architectures and technologies including Kafka, Hadoop, Spark, Cassandra, HDFS, and AWS S3.
• Extensive database management experience, 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.
• Strong troubleshooting and debugging skills.
• Excellent communication skills with technical and non-technical stakeholders.
• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field; the posting also says applicants may be considered based on coursework and experience or extensive related professional experience.

Nice To Haves

• Experience with Aerospike, Kafka, Snowflake, and other big data technologies.
• Familiarity with containerization, microservices architecture, and Kubernetes.
• Experience designing and maintaining large-scale distributed systems.
• Experience in data quality management, data governance, or ETL pipelines.

Responsibilities

• Design and implement monitoring and alerting systems for the stability, reliability, and performance of data platforms.
• Respond to and resolve issues affecting data pipelines or storage layers.
• Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
• Analyze and optimize data storage, query performance, and data flows to process large-scale datasets efficiently, reduce latency, and improve processing speed.
• Troubleshoot data platform failures and coordinate cross-team efforts to resolve incidents.
• Maintain high availability and reliability of data platforms.
• Work with data engineering teams to analyze and forecast capacity requirements and scale infrastructure to accommodate data growth.
• Document data platform architecture, configurations, and operational procedures.
• Share operational knowledge across the team and provide relevant training.
• Ensure data platforms meet security standards and compliance requirements, and prevent data breaches, unauthorized access, and misuse of data.
• Collaborate with data science, product, and development teams; support data product design and implementation; and resolve reliability issues to improve platform stability.

Benefits

• Eligible employees receive Comcast benefits, described as a range of options, expert guidance, and tools supporting physical, financial, and emotional well-being.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior