Sr. Site Reliability Engineer, Data - FreeWheel

Comcast • Reston, VA

1d

About The Position

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 8+ years of experience as an SRE, DevOps, or Data Operations Engineer.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with modern data architectures and technologies, including big data platforms (e.g., Kafka, Hadoop, Spark) and distributed storage (e.g., Cassandra, HDFS, AWS S3).
• Extensive experience in database management (e.g., NoSQL databases, MySQL, PostgreSQL).
• Proficiency in automation tools and frameworks (e.g., Ansible, Terraform, Kubernetes, Docker) for automating data system deployment and maintenance.
• Familiarity with modern CI/CD pipelines.
• Programming skills in Python, Go, Java, or Scala with the ability to write efficient scripts and automation tools.
• Experience using monitoring and log management tools such as Prometheus, Grafana, and ELK Stack.
• Strong troubleshooting and debugging skills with the ability to quickly identify and resolve production issues.
• Excellent communication skills with the ability to convey technical information clearly to 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 to 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 knowledge across the team and provide relevant training.
• Ensure data platforms meet security standards and compliance requirements.
• Prevent data breaches, unauthorized access, and data misuse.
• Collaborate with data science, product, and development teams.
• Support data product design and implementation.
• Resolve reliability-related issues across the platform.

Benefits

• Comprehensive ad platforms for publishers, advertisers, and media buyers.
• 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