DoiT
Cloud cost allocation platform that attributes shared cloud spend to customers and teams without relying on resource tags
Highlights
- Hiring31 open roles
- Remote-friendly31 of 31 open roles remote or hybrid
About DoiT
DoiT sells Cloud Intelligence™, a FinOps platform that allocates cloud spend, including shared Kubernetes clusters, network egress, databases, Kafka and AI token usage, to individual customers, features and teams. It reads runtime traffic rather than resource tags. A separate PerfectScale™ product covers Kubernetes and Snowflake cost and performance optimisation.
Customers include engineering, platform and FinOps teams that need cost-to-serve, gross margin per customer and chargeback reporting. The Essentials tier is free, while Enhanced and Enterprise plans are priced on request. The company states it has more than 4,500 customers.
DoiT was founded in 2011 and is globally distributed with fully remote teams. It holds AWS Premier Tier Services Partner, Google Cloud Premier Partner and Microsoft Gold Solutions Partner status. The Attribute™ tagless FinOps line lists an office in Tel Aviv, Israel, and current openings span sales, solutions engineering, platform engineering and business systems, mostly remote across EMEA, the US, APAC and LATAM.
Product: Cloud Intelligence™ tagless FinOps platform for runtime cost allocation, cost per customer and chargeback; PerfectScale™ for Kubernetes optimisation.
Jobs at DoiT (31)
DoiT is hiring for 31 roles, mostly in engineering and operations. All are remote.
Enterprise Systems Administrator
Remote-friendlyEnterprise Systems Administrator, Bulgaria (Remote)
Remote-friendlyEnterprise Systems Administrator, Poland (Remote)
Remote-friendlyEnterprise Systems Administrator
Remote-friendlyEnterprise Systems Administrator
Remote-friendlyEnterprise Systems Administrator
Remote-friendlyEnterprise Systems Administrator
Remote-friendlyEnterprise Systems Administrator
Remote-friendlyManager of Sales, Attribute™, EMEA
Remote-friendlyManager of Sales, Attribute™, EMEA
Remote-friendly
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