Full-Time

Senior Staff Software Engineer

App Platform

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$232k - $313kAnnually

+ Annual Performance Bonus + Equity

Senior

San Francisco, CA, USA

Category
Backend Engineering
Software Engineering
Required Skills
Java
Go
Databricks
Requirements
  • Strong industry experience and track record of developing, building and supporting large-scale infrastructure.
  • Ability to think long-term while delivering incremental, measurable impact.
  • Coding chops, clean, elegant, bug-free code in languages like Java, GO.
  • Must have led teams of engineers to deliver autonomously on large multi-functionally driven projects.
  • Proven track record of driving innovation within highly technical teams.
  • Experienced at Cross Team Communication: Strong flair for effective communication and collaboration.
  • Push the bar on engineering standard processes and help leaders build a strong engineering culture.
  • Passionate about helping teams grow by inspiring and mentoring engineers.
Responsibilities
  • Develop scalable experimentation platforms and metrics-driven processes to launch incremental feature changes, ensuring safe, data-informed deployments.
  • Build reliable software and service frameworks for high-coverage pre-production testing, and create systems that enhance automation, monitoring, and cloud cost visibility.
  • Design and optimize tools for seamless cloud infrastructure provisioning, enabling engineers to manage services effectively across all environments with minimal friction.
  • Implement secure, end-to-end logging, and comprehensive metrics systems that allow easy and thorough monitoring and analysis across our large-scale infrastructure.
  • Amplify the productivity of every Databricks engineer by tenfold through best in class developer infrastructure.
  • Lead cross-functional projects, influence architectural decisions, and provide mentorship to engineering teams to drive innovation and uphold high standards for operational excellence.
Desired Qualifications
  • Expertise in one or more areas around rpc frameworks, observability infrastructure, developer infrastructure, AI based tooling and performance engineering is huge plus

Databricks provides a unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform supports various users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. Databricks offers solutions for data ingestion, management, and analysis, featuring automated ETL processes, secure data sharing, and high-performance analytics. It also supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike its competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services, which allows for a more predictable cost structure for clients. The company's goal is to empower organizations to leverage their data for better decision-making and insights.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, valuing the company at $62 billion in 2023.
  • The company plans to expand globally, including into Saudi Arabia, enhancing market presence.
  • Growing demand for real-time analytics boosts Databricks' lakehouse architecture adoption.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share.
  • Rapid AI advancements could render Databricks' offerings obsolete without innovation.
  • Regulatory scrutiny over data privacy may impact Databricks' operations in new regions.

What makes Databricks unique

  • Databricks offers a unique lakehouse architecture combining data lakes and warehouses.
  • The platform supports seamless integration with various cloud services for data management.
  • Databricks provides automated ETL processes and high-performance analytics capabilities.

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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