Full-Time

Staff Software Engineer

CXI

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$190k - $261.3k/yr

+ Annual performance bonus + Equity

San Francisco, CA, USA + 1 more

More locations: Mountain View, CA, USA

In Person

Bachelor's

Category
Customer Experience & Support (1)
Software Engineering (1)
Required Skills
Microsoft Azure
Distributed Systems
Machine Learning
AWS
Web Development
Google Cloud Platform

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Requirements
  • A Bachelor of Science or higher degree in Computer Science or a related field.
  • Technical leadership experience on large projects involving automation tooling, distributed systems, and application programming interfaces.
  • Extensive full-stack development experience.
  • Proven success designing and deploying production-grade automation in complex technical environments.
  • Hands-on experience with machine-learning-assisted systems, decision support, or agentic automation.
  • Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems.
  • Strong understanding of multi-cloud environments including Amazon Web Services, Microsoft Azure, and Google Cloud Platform, along with enterprise compliance, data privacy, and security constraints.
Responsibilities
  • Contribute to the technical vision, core infrastructure, and backend architecture for the next-generation Enterprise Agentic Framework.
  • Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support and designed to expand into IT, Security, Compliance, Marketing, Human Resources, Legal, and other ticket-based workflows.
  • Drive rapid, iterative backend development while maintaining quality, safety, throughput, and reliability standards for agentic systems.
  • Design state-machine and agentic workflows that evolve from human-in-the-loop validation to fully automated execution.
  • Implement backend tracing, logging, transparency, safe execution, and instant rollback mechanisms for critical artificial-intelligence-driven business decisions.
  • Act as a technical liaison between Customer Experience Intelligence, Product, Platform Engineering, and business stakeholders to unblock dependencies and align roadmaps.
  • Set a high engineering standard for backend code quality, system performance, and architectural maintainability.
  • Mentor engineers and subject-matter experts across Software, Support, and internal operations teams.

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$32.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks announced $5 billion funding on August 13, 2026, at a $190 billion valuation.
  • February 9, 2026 revenue run-rate hit $5.4 billion, growing over 65% year-over-year.
  • Electric joined Databricks on August 11, 2026, strengthening Lakebase for AI agents.

What critics are saying

  • Judge Breyer let authors' copyright class action proceed on April 29, 2026.
  • Poulin Holdings sued Databricks in Texas on March 11, 2026, over patents.
  • Snowflake and Alphabet compete directly; Databricks' $190 billion valuation demands flawless IPO execution.

What makes Databricks unique

  • Databricks owns the lakehouse stack, from Spark analytics to Lakebase PostgreSQL.
  • Unity Catalog and open formats anchor governance across clouds, data, and AI workloads.
  • Electric and Neon deepen agentic database capabilities beyond Snowflake's core warehouse focus.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Databricks
Aug 13th, 2026
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway - Databricks

Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.

TechDay
Aug 12th, 2026
Databricks buys Electric to power AI agent sandboxes

The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.

Electric
Aug 11th, 2026
Electric is joining Databricks | Electric

Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.

Tech in Asia
Jul 28th, 2026
Databricks hires ex-AWS executive to lead Asia partners amid 85% growth

Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.

Tech in Asia
Jul 17th, 2026
Coatue leads $3B Databricks investment at $134B valuation

Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.