Sr. Site Reliability Engineer, Data - FreeWheel

Comcast • Chicago, IL

1d • $117,628 - $176,442

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).
• 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.
• Strong experience 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

• 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

• 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 applicable plan, while most non-sales positions are eligible for a Bonus.
• Additionally, Comcast provides best-in-class Benefits to eligible employees.
• We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.
• That’s why we provide an array of 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.
• Please visit the compensation and benefits summary on our careers site for more details.

What This Job Offers

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