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.
Job SummaryFreeWheel 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.
Job DescriptionKey ResponsibilitiesSystem 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 to 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 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 data misuse.
Cross-Team Collaboration- Collaborate with data science, product, and development teams.
- Support data product design and implementation.
- Resolve reliability-related issues across the platform.
Qualifications- At least 8+ years of experience as an SRE, DevOps, or Data Operations Engineer.
- Experience with cloud platforms (e.g., AWS, Google Cloud Platform, 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.
- Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
Additional Preferred Skills- 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.
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.
SkillsAmazon Web Services (AWS), Automation, Python (Programming Language)
CompensationVirginia Pay Range: $128,830.52 - $193,245.78
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 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.
EducationBachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience7-10 Years
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
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