Infrastructure Engineer - eero, eero/Amazon
Full Time
San Francisco, CA
Posted
Job description
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
WiFi has become a critical component to every home worldwide. eero, an Amazon Company, is the first product to deliver a whole home WiFi experience using mesh technology to make sure you never have to worry about connectivity ever again. We believe customers' deserve the best connectivity and smart home experience possible. To find out more about eero, please visit eero.com.
Key job responsibilities
A day in the life
As a part of the team, you will build and maintain infrastructure that powers high-volume real-time data systems that provide insight into eero device performance and eero fleet behavior. You will empower other engineering teams at eero to build and deploy their data-driven services in a secure and scalable manner.
About the team
eero's Fleet Data Observability team is responsible for the data systems, pipelines, and analytics that enable us to See, Understand, and Act on data to make our customer's experience better. We leverage modern streaming data tools and analytics to drive higher quality to our product, and a better end-customer experience.
Key job responsibilities
- Author Terraform to create and manage data systems in AWS
- Work with application developers to deploy and tune applications on top of Kubernetes and Kafka
- Develop and maintain Open Policy Agent policies to enforce best practices and secure systems
- Develop monitoring and alerting to drive operational improvements and reduce incidents
- Participate in the team on-call rotation
A day in the life
As a part of the team, you will build and maintain infrastructure that powers high-volume real-time data systems that provide insight into eero device performance and eero fleet behavior. You will empower other engineering teams at eero to build and deploy their data-driven services in a secure and scalable manner.
About the team
eero's Fleet Data Observability team is responsible for the data systems, pipelines, and analytics that enable us to See, Understand, and Act on data to make our customer's experience better. We leverage modern streaming data tools and analytics to drive higher quality to our product, and a better end-customer experience.
- See above
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $103,400/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
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