Staff Software Engineer — Money Team: Billing & AI Innovation

Neon; Bellevue (WA); Vor Ort; USD 182.000 - 247.000; Vollzeit

Zusammenfassung

Databricks in Bellevue, WA is hiring a Staff Software Engineer for the Money Team. You will help design and operate money-related systems, including billing, pricing, and usage data, collaborating with product, marketing, data science, IT, and support to deliver reliable, scalable services.

You will lead complex, near real-time data processing and distributed infrastructure, contribute to CI/CD, data quality, and end-to-end reconciliation, and innovate with AI-powered cost insights across cloud

Qualifikationen

• BS or higher in Computer Science or related field.
• Technical leadership on large projects with real-time data processing.
• Proven track record shipping reliable distributed services.
• Ability to lead across teams and organizational boundaries.
• Proactive mindset and commitment to high‑quality solutions.

Aufgaben

• Design and manage Money systems and services for Databricks products.
• Develop pricing strategies: Pay-As-You-Go, credits, trials, promotions.
• Improve engineering efficiency, CI/CD, test frameworks, data quality, reconciliation, anomaly detection.
• Collaborate with commercialization to implement pricing plans.
• Use AI and LLMs to improve cost insight, prediction, optimization across clouds.
• Become expert in Databricks Data + AI tools.
• Provide leadership in long-term product vision and requirements with engineering teams.
• Represent Databricks at conferences and events.

Kenntnisse

Technical leadership

Distributed systems

Data pipelines

Big data processing

Cross-functional collaboration

Ausbildung

BS in Computer Science

Jobbeschreibung

Databricks in Bellevue, WA is hiring a Staff Software Engineer for the Money Team. You will help design and operate money-related systems, including billing, pricing, and usage data, collaborating with product, marketing, data science, IT, and support to deliver reliable, scalable services.

You will lead complex, near real-time data processing and distributed infrastructure, contribute to CI/CD, data quality, and end-to-end reconciliation, and innovate with AI-powered cost insights across cloud