Databricks

1 week ago

Sr Software Engineer- CXI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Architect and deliver an AI-native vertical workflow platform for Customer Experience Intelligence (CXI). Build a modular, multi-tenant agent platform optimized for customer support and designed to expand across domains like IT, Security, Compliance, and more. Drive reliable backend development for agentic systems, including state-machine workflows, enterprise observability, and safe execution with rollback. Serve as a technical liaison across product and platform teams, mentoring engineers and raising engineering standards.

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and contribute to the technical vision, core infrastructure, and backend architecture for an Enterprise Agentic Framework.
•Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support and expandable to other knowledge-worker domains.
•Deliver reliable, iterative backend development while meeting quality, safety, throughput, and reliability standards for agentic systems.
•Design state-machine and agentic workflows that move from human-in-the-loop validation to automated execution.
•Implement enterprise-grade backend observability (tracing, logging, transparency) with safe execution and instant rollback for critical decisions; mentor engineers and SMEs.

Pay and Benefits

Salary: USD 164,200 - 225,700 annually

Key Requirements

•BS or higher degree in Computer Science or a related engineering field.
•Extensive experience designing, building, and maintaining high-throughput production backend systems.
•Experience deploying enterprise-grade backend infrastructure, microservices, and robust APIs in complex environments.
•Deep familiarity with distributed systems and data platforms, including handling large-scale traffic.
•Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.

Experience:MLLLMAgentic automationDistributed systemsEnterprise systemsData platforms

Education:Bachelor's

Skills:Cross-functional collaborationTechnical leadershipMentoringEngineering quality mindsetReliability focus

Languages:English

Tech Stack:MicroservicesAPIsDistributed systemsAWSAzureGCPLLM orchestration frameworksState machinesAgentic automationTracingLoggingRollbackLakehouseApache SparkDelta LakeMLflow

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 week ago

Sr Software Engineer- CXI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and contribute to the technical vision, core infrastructure, and backend architecture for an Enterprise Agentic Framework.
•Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support and expandable to other knowledge-worker domains.
•Deliver reliable, iterative backend development while meeting quality, safety, throughput, and reliability standards for agentic systems.
•Design state-machine and agentic workflows that move from human-in-the-loop validation to automated execution.
•Implement enterprise-grade backend observability (tracing, logging, transparency) with safe execution and instant rollback for critical decisions; mentor engineers and SMEs.

Pay and Benefits

Salary: USD 164,200 - 225,700 annually

Key Requirements

•BS or higher degree in Computer Science or a related engineering field.
•Extensive experience designing, building, and maintaining high-throughput production backend systems.
•Experience deploying enterprise-grade backend infrastructure, microservices, and robust APIs in complex environments.
•Deep familiarity with distributed systems and data platforms, including handling large-scale traffic.
•Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.

Experience:MLLLMAgentic automationDistributed systemsEnterprise systemsData platforms

Education:Bachelor's

Skills:Cross-functional collaborationTechnical leadershipMentoringEngineering quality mindsetReliability focus

Languages:English

Tech Stack:MicroservicesAPIsDistributed systemsAWSAzureGCPLLM orchestration frameworksState machinesAgentic automationTracingLoggingRollbackLakehouseApache SparkDelta LakeMLflow

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn