Sr. Site Reliability Engineer, Data - FreeWheel

Blueface Ltd; Chicago (IL); On-site; USD 117,627 - 176,441; Full time

Benefits offered by this job

Health, dental, and vision insurance

Paid time off

Retirement benefits

Job summary

Blueface Ltd in Chicago is looking for an experienced Data SRE to join the Global Operations team, focusing on the reliability, scalability, and performance of data systems. You will design monitoring systems, develop automation tools, and troubleshoot platform issues to ensure seamless operations.

The ideal candidate has over 8 years of experience, proficiency in cloud platforms and database management, and strong programming skills. A competitive compensation package includes a salary range of $117,627.86 – $176,441.80.

Qualifications

• 8+ years of experience as an SRE, DevOps, or Data Operations Engineer.
• Extensive experience in cloud platforms and database management.
• Strong experience with automation tools and scripting languages.

Responsibilities

• Design and implement monitoring and alerting systems.
• Develop automation tools for data system management.
• Respond quickly to data platform failures and troubleshoot issues.
• Collaborate with data teams to improve platform reliability.

Skills

Cloud platforms (AWS, GCP, Azure)

Database management (NoSQL, MySQL, PostgreSQL)

Automation tools (Ansible, Terraform, Kubernetes, Docker)

Programming skills (Python, Go, Java, Scala)

Monitoring and log-management (Prometheus, Grafana, ELK Stack)

Troubleshooting and debugging

Excellent communication skills

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

CI/CD pipelines

Containerization and microservices architecture

Job description

Job Summary

FreeWheel, part of Comcast, is looking for an experienced Data SRE to join the FreeWheel Data SRE team. As a member of the Global Operations team, you will ensure the reliability, scalability, and performance of our data systems, working closely with data engineers and other operations sub‑teams.

Key Responsibilities

• System Monitoring and Optimization: Design and implement monitoring and alerting systems to ensure 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 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, ensuring high availability and reliability.
• Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements and scale infrastructure accordingly.
• Documentation and Knowledge Sharing: Document architecture, configurations, and operational procedures for data platforms and share knowledge across the team.
• Security and Compliance: Ensure data platforms meet security standards and compliance requirements; prevent data breaches, unauthorized access, and misuse.
• Cross‑Team Collaboration: Collaborate with data science, product, and development teams, support data product design and implementation, and 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 (AWS, GCP, Azure).
• Extensive experience in database management (NoSQL, MySQL, PostgreSQL).
• Proficiency in automation tools and frameworks (Ansible, Terraform, Kubernetes, Docker). Strong experience with modern CI/CD pipelines.
• Programming skills in Python, Go, Java, or Scala to write efficient scripts and automation tools.
• Experience with monitoring and log‑management tools such as Prometheus, Grafana, and ELK Stack.
• Strong troubleshooting and debugging skills for production issues.
• Excellent communication skills, able to convey technical information to technical and non‑technical stakeholders.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent coursework and experience).

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.

Compensation

Primary Location Pay Range: $117,627.86 – $176,441.80. Compensation includes base pay and may include bonuses based on the role and company performance.

Benefits

Comcast provides comprehensive benefits to eligible employees, including health, dental, vision, disability, retirement, paid time off, and other resources that support physical, financial, and emotional well‑being.

Equal Opportunity

Comcast is an equal‑opportunity workplace and will consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other protected status.