Full-Time

IT Cloud Infrastructure Engineer

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

$88.1k - $155.9kAnnually

+ Annual Performance Bonus + Equity

Junior, Mid

No H1B Sponsorship

San Francisco, CA, USA

US Citizenship Required

Category
DevOps & Infrastructure
Cloud Engineering
DevOps Engineering
Required Skills
Kubernetes
Python
Terraform
Development Operations (DevOps)
Requirements
  • 2+ years of relevant experience and a degree in Computer Science, Engineering, Information Systems or related subject
  • Experience with Terraform and/or Python.
  • An ability to think from the end-users' perspective, analyze and suggest improvements.
  • You are excited to solve ambiguous problems with a collaborative team.
  • U.S. Citizenship Requirement: This role is open to United States citizens on United States Soil only.
Responsibilities
  • Assist Infrastructure team while we roll out automation and infra that will keep Databricks' service resilient and stakeholders effective at their work.
  • Assist in the development of micros services deployed on Kubernetes and or Lambda to drive automation.
  • Test new features and provide feedback.
  • Learn the basics of cloud infrastructure, devops and operating infrastructure at scale with automation.

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, professional services, and support. Databricks aims to simplify data management and analytics for its users.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

38%

2 year growth

72%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion in 2023.
  • The company has over 500 customers with $1 million+ annual run rates, indicating strong market presence.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing its Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share in the lakehouse sector.
  • Integration challenges from acquiring Tabular may delay product development and affect satisfaction.
  • Expansion into Saudi Arabia may face geopolitical risks and regulatory hurdles, impacting growth.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse architecture.
  • The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
  • Databricks integrates with various cloud services, facilitating seamless data management and analysis.

Help us improve and share your feedback! Did you find this helpful?

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