Sr. Site Reliability Engineer, Data - FreeWheel

Blueface Ltd; Reston (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

FreeWheel, a subsidiary of Comcast, is seeking a Data Site Reliability Engineer (SRE) based in Reston, Virginia. The role focuses on managing and optimizing data infrastructure, ensuring system reliability, and automating operations. Candidates should possess at least 8 years of relevant experience in data operations and have a strong technical background.

This position offers the opportunity to work with cloud platforms and maintain critical data systems while collaborating with various teams to enhance product functionality.

Qualifications

• 8+ years of experience in SRE, DevOps, or Data Operations.
• Strong troubleshooting and debugging skills.
• Excellent communication abilities.

Responsibilities

• Design and implement monitoring systems for data platforms.
• Develop automation tools for deployment, monitoring and backup.
• Analyze and optimize performance of data storage and processing.

Skills

Cloud platforms (AWS, GCP, Azure)

Big data platforms (Kafka, Hadoop, Spark)

Database management (NoSQL, MySQL, PostgreSQL)

Automation tools (Ansible, Terraform, Kubernetes, Docker)

Programming skills (Python, Go, Java, Scala)

Education

Bachelor’s degree in Computer Science or related field

Tools

Monitoring tools (Prometheus, Grafana, ELK Stack)

CI/CD pipelines

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 an experienced Data 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.

Key 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 to 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 and ensure systems can accommodate data growth and scale infrastructure accordingly.
• Document the architecture, configurations, and operational procedures for data platforms and share knowledge across the team.
• Ensure data platforms meet security standards and compliance requirements. Prevent data breaches, unauthorized access, and data misuse.
• Collaborate with data science, product, and development teams; support data product design and implementation; 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 (e.g., AWS, GCP, Azure).
• Familiarity with modern data architectures and technologies, including big data platforms (e.g., Kafka, Hadoop, Spark) and distributed storage (e.g., Cassandra, HDFS, AWS S3).
• Extensive experience in database management (e.g., NoSQL databases, MySQL, PostgreSQL).
• Proficiency in automation tools and frameworks (e.g., Ansible, Terraform, Kubernetes, Docker) for automated data system deployment and maintenance.
• Familiarity 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.
• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
• Preferred: 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.

Equal Employment Opportunity

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.