Angi

Angi

Senior Infrastructure Engineer

Remote - United States · Senior

No sponsorship$165k-$216kDetected 22 days ago
PythonGoRubyBashNode.jsCode ReviewAWSDockerKubernetesTerraformHelmKafkaConfluenceNetwork MonitoringResearchMentoring

About the role

  • For employees, we're an amazing place to call home.

Responsibilities

  • For pros, we're a reliable business partner who helps them find the winnable work they want, when they want.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Computer Information Systems, or a closely related field.
  • 5 years of progressive experience with cloud computing on Amazon Web Services (AWS).
  • Experience with on-prem or cloud-based object stores.
  • Experience with supporting application infrastructure including Kafka, Zookeeper, and Postgres.
  • Must have current authorization to be employed in the U.S. without employer sponsorship.

Skills

  • Serve as an infrastructure liaison to the development and operations teams.
  • Review documentation on the tools or programming languages, research best practices, evaluate tradeoffs, and solicit feedback on tools.
  • Determine tools and processes needed using New Relic, Nagios, or CloudWatch to monitor performance.
  • Execute or coordinate the introduction of the new or updated processes into the production website.
  • Understand the change management process.
  • Ensure the rollout of the change does not negatively impact the customer experience.

Compensation

  • The base salary band for this position ranges from $165,000 - $216,000, commensurate with experience and performance.

Company info

  • Founded in 1995 as Angie's List and rebranded in 2021
  • Global company with 9 brands in 8 countries and employees worldwide
  • Homeowners have turned to us for 300 million home projects and counting

Visa & Work Authorization

  • Must have current authorization to be employed in the U.S. without employer sponsorship.

This listing is sourced directly from Angi's careers page and normalized into a canonical job model.