Site Reliability Engineer, Data - FreeWheel
About The Position
FreeWheel is seeking a Data Domain Site Reliability Engineer to join its Data SRE team within the Global Operation team. The role is responsible for ensuring the reliability, scalability, and performance of data systems. Working with data engineers and other operations sub-teams, the engineer will manage data infrastructure, optimize system reliability, automate daily operations, and resolve technical issues affecting data pipelines and backend data platforms. The position covers monitoring and optimization, automation and tooling, performance tuning, incident response, capacity planning, documentation, security and compliance, and collaboration with data science, product, and development teams. The engineer will help support data product design and implementation and address reliability issues across the platform.
Requirements
- At least 5 years of experience as an SRE, DevOps, or Data Operations Engineer.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Extensive database management experience, including NoSQL databases, MySQL, or PostgreSQL.
- Proficiency with automation tools and frameworks such as Ansible, Terraform, Kubernetes, or Docker for automating data system deployment and maintenance.
- Strong experience with modern CI/CD pipelines.
- Programming skills in Python, Go, Java, or Scala, including the ability 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, including the ability to identify and resolve production issues quickly.
- Excellent communication skills and the ability to clearly convey technical information to technical and non-technical stakeholders.
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field; the posting also notes that applicants with some combination of coursework and experience or extensive related professional experience may be considered.
Nice To Haves
- 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.
Responsibilities
- Design and implement monitoring and alerting systems to support the stability, reliability, and performance of data platforms.
- Respond to and resolve issues affecting 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 data storage, query performance, and data flows for efficient processing of large-scale datasets.
- Reduce latency and improve processing speed.
- Troubleshoot data platform failures and coordinate cross-team efforts to resolve issues.
- Maintain high availability and reliability of data platforms.
- Work with data engineering teams to analyze and forecast capacity requirements and scale infrastructure to accommodate data growth.
- Document data platform architecture, configurations, and operational procedures.
- Share knowledge across the team and provide relevant training.
- Ensure data platforms meet security standards and compliance requirements, and help prevent data breaches, unauthorized access, and data misuse.
- Collaborate with data science, product, and development teams; support data product design and implementation; and resolve platform reliability issues.
Benefits
- Comcast provides an array of benefits to eligible employees, with personalized options and guidance to support employees physically, financially, and emotionally.
- Most non-sales positions are eligible for a bonus.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
