Site Reliability Engineer, Data - FreeWheel

Comcast; West Chicago (IL); On-site; USD 100,000 - 164,000; Full time

Job summary

FreeWheel, a Comcast company, seeks a Data Domain SRE to join the Global Operations team. You will ensure the reliability, scalability, and performance of data systems, collaborating with data engineers and other operations.

You will automate daily operations and resolve issues impacting pipelines and backend platforms. You will design monitoring, build automation for deployment, backup, recovery, and disaster recovery; optimize storage and query performance; participate in incident response,

Qualifications

• 5+ years of experience as an SRE, DevOps, or Data Operations Engineer.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Proficiency with automation tools and frameworks for automating data system deployment and maintenance.

Responsibilities

• System Monitoring and Optimization: Design and implement monitoring and alerting systems for data platforms.
• Automation and Tool Development: Develop automation scripts for deployment, monitoring, backup, recovery, and DR of data systems.
• Performance Optimization: Analyze and optimize data storage, queries, and data flows for large datasets and reduced latency.
• Incident Response and Troubleshooting: Respond quickly to data platform failures and coordinate cross-team resolution.
• Capacity Planning and Scaling: Forecast capacity requirements with data engineering teams to handle growth.
• Documentation and Knowledge Sharing: Document architectures and operational procedures, share knowledge within the team.
• Security and Compliance: Ensure data platforms meet security standards and compliance requirements.
• Cross-Team Collaboration: Work with data science, product, and development teams on reliability improvements.

Skills

Amazon Web Services (AWS)

Data Infrastructure

Python (Programming Language)

Education

Bachelor's Degree

Tools

Kubernetes

Docker

Ansible

Terraform

Job description

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 a Data Domain 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 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 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 5+ 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.
• Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.

Additional Preferred Skills

• 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.

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

Amazon Web Services (AWS); Data Infrastructure; Python (Programming Language)

Salary

Virginia Pay Range: $109,178.41 - $163,767.61

Additional Range: This job can be performed in Illinois with a Pay Range of $99,684.63 - $163,767.61

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