Listing Description

Our Mission: 

To actively connect people to their next great opportunity. 

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary/About the Job:

We are seeking an engineer with a focus on analyzing and optimizing the cost, utilization, and efficiency of our cloud resources. This role is a part of our infrastructure SRE team; they will partner primarily with teams throughout our Engineering organization, with some collaboration with Product and Finance.

We focus on building self-serve systems that allow our teams to act independently. The purpose for this position is not to be a gatekeeper of resources, but to enable teams to make informed decisions, while providing guidance on possible designs and patterns.

Ideal candidates will have a solid understanding of modern SRE and devops practices along with strong analytical abilities and applied skills in gathering, processing, analyzing, and visualizing data.

Key focuses/Responsibilities:

• Research, analyze, and communicate resource cost and utilization patterns from disparate data sources.


• Navigate different layers of abstraction, tying together information as concrete as bytes on disk and as abstract as user-visible product features.


• Build tools and interfaces to make such information transparent and accessible without toil.


• Collaborate with our Engineering, Product, and Finance teams to educate and enable good decision-making.


• Influence teams and drive behavior toward best practices and efficient use of resources.

Qualifications:

• 1+ years experience as an SRE or SWE


• Familiarity with tools such as AWS Cost Explorer, kubecost


• Ability to code in python or golang


• Ability to perform data analysis using sql and notebook environments such as jupyter


• Strong and versatile communication skills, whether working with individual engineers or company executives

As part of our team you'll enjoy:

• Competitive salary


• Exceptional benefits package


• Flexible Vacation & Paid Time Off


• Employer-matched 401(k) plan 

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