- Entry level
- No Education
- Salary to negotiate
Wayfair is a leader in the e-commerce space for all things home.
We live and breathe modern technologies.
We are a move fast, break things, rethink old standards team with a startup feel but working with platforms at a massive scale.
We re looking for smart, driven and passionate engineering leaders who build and cultivate highly performant engineering teams responsible for building and supporting performant and scalable platform architectures in the Logging and Metrics DevOps disciplines.
The Logging and Metrics platforms at Wayfair are complex distributed systems and data pipelines built mainly using Elastic Stack (formerly ELK), InfluxDB and Apache Kafka.
We collect 50+ billion log & metrics events per day, generated by 20,000+ systems and 500+ homegrown applications across multiple geo locales and GCP regions, while supporting searches against these datasets for the purposes of supporting engineering functions like monitoring, alerting, observability, high velocity software development and security incident event management.
What You ll Do: Manage mission critical platforms as a service for rapid growth and scale that enable a global developer community of 3,000 to write and deploy code multiple times/day to our complex, distributed e-commerce platform Develop monitoring, define SLAs, SLOs and error budgets for said platforms while helping coordinate product launches and reliability exercises Direct the platform team's participation in software development activities and API development supporting application use of the platform throughout the company Help determine the future roadmap of platforms and services in the logging, metrics, observability and security incident and event management disciplines Identify resource gaps and lead architecture discussions within the organization Create and maintain detailed documentation for both self-service and onboarding Help build and grow our team by mentoring junior engineers and nurture and develop their skills while assisting them on a variety of projects Who You Are: BA/BS degree from a 4-year college or university 5+ years managing, growing and mentoring a highly performing engineering teams A good handle on Agile / Scrum / Kanban as methodologies 2+ years of hands-on experience with technologies like Elastic Stack (ELK Stack) and Kafka 2+ years working with configuration management tools such as Puppet, Chef, Ansible Experience in one or more programming languages used in the infrastructure space
- Python, golang, bash, etc.
as well as familiarity with version control systems such as Git Knowledge of modern DevOps practices (CI/CD, Microservices, Containers) 2+ years of hands-on experience with IoT/sensor data technologies like InfluxDB Experience working with public cloud platforms such as GCP or AWS and Infrastructure as code frameworks like Terraform