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Sr Software Engineer - Customer Experience Intelligence (CXI)

164 200 - 225 700$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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