обновлено 7 дней назад
Staff Software Engineer (Fintech)
182 400 - 247 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Fintech): Develop and manage billing and usage systems for Databricks' Money team, focusing on pricing strategies, cost optimization, and cloud provider integration. Focus on designing distributed services, leveraging AI and LLMs for cost prediction, and leading cross-functional engineering efforts.
Location: Bellevue, Washington, United States
Salary: $182,400–$247,000 USD annually
Company
Databricks builds a Data + AI platform for organizations to develop and scale data applications, analytics, and AI agents.
What you will do
- Design and manage Money systems and services that commercialize Databricks products and offerings.
- Build pricing primitives supporting pay-as-you-go plans, commissions, credits, trials, and promotions.
- Develop billing capabilities covering usage ingestion, metering, pricing, payments, reporting, budgeting, and cost centers.
- Improve infrastructure efficiency, reliability, accuracy, response times, CI/CD, testing, data quality, reconciliation, and anomaly detection.
- Apply AI and LLMs to cost insight, prediction, and optimization across AWS, GCP, and Azure.
- Partner with engineering, product, marketing, commercialization, data science, IT, and customer support teams on long-term product vision and requirements.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- Technical leadership experience on large projects involving near real-time data processing and distributed service infrastructure.
- Experience building, shipping, and managing reliable distributed services and large-scale data pipelines.
- Ability to lead across functional and organizational boundaries.
- Proactive approach and commitment to delivering high-quality solutions.
Culture & Benefits
- Comprehensive benefits and perks, with details varying by region.
- Opportunity to use Databricks Data + AI tools across a large-scale platform.
- Opportunities to represent Databricks at academic and industry conferences and events.
- Inclusive workplace committed to equal employment opportunity and diversity.
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