Data Reliability Engineering Manager
2 weeks ago
Who We Are:
is a leader in the e-commerce space for all things home.
By using technology and data to create a best-in-class experience for our customers, it gives us a competitive advantage in the global homegoods market.
The Data Services & Data Enablement team is looking for smart, passionate and curious people who are excited to help us scale, support, and engineer our database, distributed analytic, and streaming infrastructure.
With the broad reach of the technologies we are using you will have the opportunity to grow your network and skills by being exposed to new people and ideas who work on a diverse set of cutting-edge technologies.
If you are the type of person who is fascinated by engineering extremely large and diverse data systems and if you are passionate about troubleshooting challenging technical problems in a rapidly innovating cloud environment, you could be a great fit.
What You'll DoWrite clean, high-performance, and well tested, infrastructure code with a focus on reusability.
(Puppet / Python / Terraform / Packer)Build out a team of 8 engineers.
Create and maintain detailed documentationEstablish, maintain, and adhere to Wayfair technical standards, policies, and proceduresRecommend 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 cloudLeverage software development skills to enable self-service deployment of distributed systems.
What You Have10+ years of relevant industry experience in DevOps and/or work on cloud data systems in a senior or technical lead rolePrior experience leading/managing engineers in an Agile environmentExperience designing and deploying infrastructure in the cloud with durability and resilience in mindExperience with using cloud database, storage, and data services as part of an application (GCP, AWS, or Azure)Nice to Have
Experience with real-time streaming tools and frameworks, such as Kafka, Pubsub, and DataflowExperience with modern orchestration tools and frameworks, such as Airflow and/or Composer.
Experience with distributed data processing systems including Spark, Hive, and/or Presto.
Assistance for Individuals with DisabilitiesWayfair 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?For more information about applying for a career at Wayfair, visit our FAQ page here.About Wayfair Inc.
Your personal data is processed in accordance with our Candidate Privacy Notice (/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at
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