Lead Site Reliability Engineer, Data- FreeWheel
Key Skills for This Role
Full Job Posting
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.
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 operational 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 misuse of data.
Cross-Team Collaboration
Collaborate with data science, product, and development teams.
Support data product design and implementation efforts.
Resolve reliability-related issues and improve platform stability.
Qualifications
- At least 10+ years of experience as an SRE, DevOps, or Data Operations Engineer.
- Experience with cloud platforms (AWS, GCP, Azure).
- Familiarity with modern data architectures and technologies including Kafka, Hadoop, Spark, Cassandra, HDFS, and AWS S3.
- Extensive experience in database management including NoSQL, MySQL, and PostgreSQL.
- Proficiency with Ansible, Terraform, Kubernetes, and Docker.
- Programming skills in Python, Go, Java, or Scala.
- Experience with Prometheus, Grafana, ELK Stack, or similar tools.
- Strong troubleshooting and debugging skills.
- Excellent communication skills with 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.
Skills
- Compensation
- 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
- Certifications (if applicable)
- Relevant Work Experience
About Comcast
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