Who We Are:

Wayfair is a leader in the e-commerce space for all things home. We live and breathe modern technologies. We’re looking for smart, logical thinkers who can advocate for systems and designs that work at scale, but still retain the startup feel. We pride ourselves on scrappy innovation - getting real, working solutions deployed quickly and iterating based on data.

Our Platform Reliability Engineering team is looking for experienced engineers who have a mind for cloud native design, stability, and an understanding of Software best practices - and some ideas about what could be better! We work across our Technology organization to ensure our platforms and services are ready for prime time by contributing to both the platform and software code bases. 

What You’ll Do 

• Write clean, high-performance, and well tested, infrastructure code with a focus on reusability.  (Puppet / Python / Terraform / Packer)
• Build out a team of 8 - 11 engineers. 
• Create and maintain detailed documentation 
• Establish, maintain, and adhere to Wayfair technical standards, policies, and procedures 
• Recommend and implement infrastructure best practices in alignment with standard SRE principles and provide guidance on system performance and throughput expectations.
• Support development teams in designing, scaling, and operating production data infrastructure potentially including, but not limited to, CloudSQL, Firestore, Pub/Sub, Kafka, Dataproc, Airflow. 
• Path finding missions; taking existing platforms at Wayfair and helping move them to the cloud 
• Leverage software development skills to enable self-service deployment of distributed systems.

What You Have

• 10+ years of relevant industry experience in Software and/or work on cloud data systems in a senior or technical lead role
• Prior experience leading/managing engineers in an Agile environment
• Experience designing and deploying infrastructure in the cloud with durability and resilience in mind
• Experience with using cloud database, storage, and data services as part of an application (GCP, AWS, or Azure) 
• Experience with real-time streaming tools and frameworks, such as Kafka, Pubsub, and Dataflow
• Experience with modern orchestration tools and frameworks, such as Airflow and/or Composer. 
• Experience with GCP’s data stores including Cloud SQL, Spanner, Firestore, and BigQuery. 
• Experience with distributed data processing systems including Spark, Hive, and/or Presto.

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

About Wayfair Inc.Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.