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Infrastructure Engineer - eero, eero Foundations - Cloud Identity and Operations

Amazon

Infrastructure Engineer - eero, eero Foundations - Cloud Identity and Operations

Amazon

Virtual, BRA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Stock options

Development budget

Health benefits

Flexible work

Parental leave

401(k) matching

Equity

Healthcare

Parental Leave

Required Skills

Excel

SQL

SAP

Wi Fi has become a critical component to every home worldwide. eero, an Amazon Company, is the first product to deliver a whole home Wi Fi 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
  • Establish best practices for AWS infrastructure and terraform management for other teams at the company to follow.
  • Operate eero’s Kubernetes infrastructure on EKS, and ensure we are following industry best practices
  • Own eero’s build and deploy tooling and infrastructure for teams across the company
  • Improve the logging and monitoring story for cloud services
  • Identify processes that require manual work and drive towards automated solutions
  • Drive operational excellence through readiness reviews and retrospectives
    A day in the life
    As a part of the team, you will build and maintain the shared infrastructure that powers many of these core services to ensure that eero’s cloud is always available and performant. You will empower other engineering teams at eero to build and deploy their services in a maintainable and secure manner. This job involves managing infrastructure as code with Terraform and CDK, along with writing scripts and tooling to automate manual tasks.
    About the team
    eero's ​Cloud Identity and Operations team is responsible for the cloud infrastructure we operate in AWS, setting best practices for feature engineering teams to follow and writing tools to make their jobs simpler. eero's cloud services power critical features that enable customers to view, manage, and troubleshoot their networks.

Basic Qualifications

  • Experience in automating, deploying, and supporting large-scale infrastructure
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with CI/CD pipelines build processes

Preferred Qualifications

  • Experience with distributed systems at scale
  • Experience with networking fundamentals including hands-on experience with load balancers, switches, routers, etc.
  • Experience building services using AWS products
    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge