Роль в Databricks предлагает хороший диапазон зарплаты и сосредоточена на передовых технологиях ИИ и автоматизации, что делает её привлекательной для опытных инженеров.
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Высокая зарплатаПередовые технологииВозможности наставничестваПродуктовая компания
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Sr Software Engineer - Customer Experience Intelligence (CXI) (AI): Architecting and delivering an AI-native vertical workflow platform that orchestrates AI agents, humans, and enterprise tools across customer support and other knowledge-worker domains with an accent on agentic infrastructure, distributed systems, and production-grade automation. Focus on designing state-machine workflows, implementing enterprise observability and rollback mechanisms, and scaling reliable multi-tenant systems across complex cloud environments.
Location: Mountain View, California or San Francisco, California, United States
Salary: $164,200–$225,700 USD annually, plus potential performance bonus, equity, and benefits.
Company
Databricks builds a unified data and AI infrastructure platform used by organizations to develop and scale data applications, analytics, and AI agents.
What you will do
Architect the technical vision, core infrastructure, and backend architecture for an enterprise agentic framework.
Build a modular, multi-tenant agent platform initially focused on customer support and designed to expand into IT, Security, Compliance, Marketing, HR, Legal, and other ticket-based workflows.
Design state-machine and agentic workflows that progress from human validation to automated execution.
Develop reliable backend systems with strong quality, safety, throughput, and performance standards.
Implement tracing, logging, transparency, safe execution, and rollback mechanisms for AI-driven business decisions.
Coordinate with CXI, Product, Platform Engineering, and business stakeholders while mentoring engineers and subject matter experts.
Requirements
Bachelor’s degree or higher in Computer Science or a related field.
Experience with large-scale automation tooling, distributed systems, APIs, and production-grade automation.
Extensive full-stack software development experience.
Hands-on experience with ML-assisted systems, decision support, or agentic automation.
Strong familiarity with distributed data platforms, developer tooling, large-scale infrastructure, and multi-cloud environments including AWS, Azure, and GCP.
Understanding of enterprise compliance, data privacy, and security constraints.
Culture & Benefits
Work with a customer-focused engineering organization addressing complex data and AI infrastructure challenges.
Potential eligibility for annual performance bonuses and equity.
Comprehensive employee benefits and region-specific perks.
Commitment to inclusive hiring and equal employment opportunity.
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