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

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to simplify data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding for AI product development and expansion.
  • The platform's support for open-source models like Meta's Llama enhances its AI offerings.
  • Growing demand for real-time analytics boosts Databricks' adoption across industries.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share in the lakehouse sector.
  • Rapid AI advancements could render Databricks' offerings obsolete without continuous innovation.
  • Integration challenges with new acquisitions may disrupt operations and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks offers robust integration capabilities across various cloud environments.

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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