Staff/Principal Software Engineer

🕒 June 4

🏢🏡 San Francisco – Hybrid

💵 $220k - $290k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Logo of CloudZero

CloudZero

WebsiteLinkedIn

11 - 50 employees

Founded 2017

☁️ SaaS

🤖 Artificial Intelligence

💸 Finance

💰 Series A on 2021-03

SaaS • Artificial Intelligence • Finance

CloudZero is a leading cloud cost optimization platform that empowers businesses to manage and reduce their cloud expenses efficiently. With advanced features like AI-driven anomaly detection, detailed cost allocation without perfect tags, and comprehensive Kubernetes visibility, CloudZero provides a single pane of glass for viewing and analyzing cloud expenditures from any infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), or software-as-a-service (SaaS) provider. The platform offers tools for budgeting, forecasting, and maximizing discounts while promoting accountability and cost-conscious engineering. CloudZero strives to enable companies to achieve financial control and predictability in cloud spending, optimizing their cloud infrastructure for better profitability.

📋 Description

• Own significant technical domains end to end: architecture, implementation, and the long-term health of the systems you build • Make and communicate high-impact design decisions across teams and stakeholders • Identify and drive improvements to performance, scalability, and reliability before they become incidents • Collaborate with product, engineering leadership, and customers to scope problems and deliver solutions that move the business • Raise the technical bar for the engineers around you through code review, design feedback, and direct mentorship • Operate with a high degree of autonomy; you don't need a ticket to identify a problem worth solving

🎯 Requirements

• Significant experience building and operating production backend systems at scale • Strong proficiency in Python and/or another backend language; comfort reading and reasoning about systems in languages you didn't write • Deep familiarity with cloud infrastructure (AWS preferred), distributed systems, and the tradeoffs that come with scale • Experience with data pipelines, ETL frameworks, or stream processing in production environments • Strong SQL and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks, or similar) • You use AI tools in your own data platform work. You can describe your own workflow and the failure modes you've worked around. Strategy-deck AI doesn't qualify; we want hands-on • You've built something that other internal teams have adopted. A library, a pattern, a service. • The ability to communicate technical complexity clearly to engineers, product, and leadership • A track record of shipping, not just designing

🏖️ Benefits

• Offers Equity • Offers Bonus

Apply Now

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