Lead Site Reliability Engineer, Data- FreeWheel

Comcast • Reston, VA

1d

About The Position

FreeWheel, 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. FreeWheel is seeking an experienced Data SRE to join the FreeWheel 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.

Requirements

• At least 10+ years of experience as an SRE, DevOps, 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 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.

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 to ensure the stability, reliability, and performance of data platforms.
• Quickly respond to and resolve issues impacting 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 the performance of data storage, query performance, and data flows.
• Ensure efficient processing of large-scale datasets.
• Reduce latency and improve processing speed.
• Respond quickly to data platform failures.
• Perform troubleshooting and coordinate cross-team efforts to resolve issues.
• Ensure high availability and reliability of data platforms.
• Work with data engineering teams to analyze and forecast capacity requirements.
• Ensure systems can accommodate data growth and scale infrastructure accordingly.
• Document the architecture, configurations, and operational procedures for data platforms.
• Share operational knowledge across the team and provide relevant training.
• Ensure data platforms meet security standards and compliance requirements.
• Prevent data breaches, unauthorized access, and misuse of data.
• Collaborate with data science, product, and development teams.
• Support data product design and implementation efforts.
• Resolve reliability-related issues and improve platform stability.

Benefits

• Comprehensive ad platforms for publishers, advertisers, and media buyers.
• Premium video content, robust data, and advanced technology.
• Global company with offices in nine countries.
• Options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

What This Job Offers

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