Site Reliability Engineer, Data - FreeWheel

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 Summary
FreeWheel is seeking an SRE talent to join Freewheel Data SRE team based in Reston/Chicago. 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 Description
Key Responsibilities:

• System 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, animprove processing speed.
• Incident Response and Troubleshooting: Respond quickly to data platform failures, perform troubleshooting, and coordinate cross-team efforts to resolve issues and ensure high availability and reliability of data.
• Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements, ensuring the system can handle data growth and scale infrastructure accordingly.
• Documentation and Knowledge Sharing: Document the architecture, configurations, and operational procedures for data platforms, ensuring knowledge is shared across the team and providing relevant training.
• Security and Compliance: Ensure data platforms meet security standards and compliance requirements to prevent data breaches or misuse.
• Cross-Team Collaboration: Collaborate with data science, product, and development teams to support data product design and implementation, solving reliability-related issues.

Qualifications:

• Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
• Experience: At least 5+ 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), distributed storage (e.g., Cassandra, HDFS, AWS S3), etc.Extensive experience in data base 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 CICD pipeline.
• Programming Skills: Proficient in at least one programming language, such as Python, Go, Java, or Scala, with the ability to write efficient scripts and automation tools.
• System Monitoring and Log Management: Familiar with using monitoring and log management tools such as Prometheus, Grafana, ELK Stack, or other similar tools.
• Troubleshooting and Debugging: Strong debugging and troubleshooting skills, with the ability to quickly identify and resolve production issues.
• Team Collaboration and Communication: Excellent communication skills with the ability to convey technical information clearly and concisely to both technical and non-technical stakeholders.

Bonus Skills:

• Experience with Aerospike, Kafka, Snowflake and other big data tech stack.
• Familiarity with containerization, micro-services architecture.
• Experience in designing and maintaining large-scale distributed systems.
• Experience in data quality management, data governance, or ETL pipelines.
• Experience in audience targeting and Identity services product support.

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.
Skills:
Kubernetes; Terraform (Software); Big Data
Salary:
Illinois Pay Range: $99,684.63 - $149,526.95
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.
Education
Bachelor'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.
Relevant Work Experience
5-7 Years