Senior Data SRE: Scale, Reliability & Automation

Comcast

Reston (VA)

On-site

USD 152,000 - 228,000

Full time

14 days+

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Job summary

FreeWheel, a Comcast company, seeks an experienced Data SRE to ensure reliability, scalability, and performance of data systems. You will work with data engineers and operations to automate daily tasks, monitor pipelines, and resolve issues across storage and analytics platforms.

Responsibilities include designing monitoring, building automation tools, optimizing data processing, and ensuring high availability.

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.

Responsibilities

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.
Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
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.
Respond quickly to data platform failures.
Perform troubleshooting and coordinate cross-team efforts to resolve issues.
Ensure high availability and reliability of data platforms.
Work with data engineering teams to analyze and forecast capacity requirements.
Ensure systems can accommodate data growth and scale infrastructure accordingly.
Document the architecture, configurations, and operational procedures for data platforms.
Share operational knowledge across the team and provide relevant training.
Ensure data platforms meet security standards and compliance requirements.
Prevent data breaches, unauthorized access, and misuse of data.
Collaborate with data science, product, and development teams.
Support data product design and implementation efforts.
Resolve reliability-related issues and improve platform stability.