Senior Software Engineer, Billing Ingest

🕒 March 20

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CloudZero

WebsiteLinkedInAll Job Openings

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

• Design and optimize scalable data models, queries, and storage solutions to improve performance and efficiency across the platform • Maintain and enhance a custom-built query engine, ensuring flexibility and optimal performance as customer needs evolve • Build for scale. Onboarding customers with larger datasets and increasingly complex analytical requirements is a core part of the job • Collaborate with engineers and business stakeholders to develop data-driven features that solve real customer problems • Continuously improve engineering processes and data infrastructure to enable rapid development and iteration

🎯 Requirements

• Proficiency in SQL and hands-on experience with cloud-based databases and data storage solutions (e.g., Snowflake, Databricks, BigQuery) • Proficiency in Python • Hands-on experience building and optimizing ETL pipelines and frameworks • Deep understanding of data modeling principles and data warehouse design for analytics • Strong problem-solving and debugging skills in large-scale data environments • Ability to communicate complex data concepts clearly to business stakeholders and cross-functional teams • Bonus If You Have... • Experience with Snowflake data stores, AWS Step Functions, and AWS Lambda • Exposure to machine learning pipelines and model deployment in data environments

🏖️ Benefits

• Offers Equity