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Full-Time

Global Staff Learning Platform Engineer

Posted on 1/24/2024

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics
Consulting
Hardware
Industrial & Manufacturing
Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$126.5k - $223.9kAnnually

Senior

Seattle, WA, USA

Category
Software Engineering
Required Skills
Microsoft Azure
Python
JavaScript
Node.js
AWS
REST APIs
HTML/CSS
Requirements
  • 4-year degree (or equivalent experience) in Computer Science or related field
  • 5+ years of experience in public cloud technologies (AWS, Google Cloud, or Azure)
  • Proven experience in CICD tools (Source Control, Build, Deploy)
  • Extensive development experience with JavaScript, CSS, Node.js, Python, and other API technologies
  • Experience in API design and creating RESTful API patterns
  • Understanding of learning management systems (LMS)
  • Deep knowledge of lab platform technologies
Responsibilities
  • Develop and maintain code associated with integrations between Learning Platforms
  • Automate manual processes and ensure efficient and effective systems for training
  • Collaborate with cross functional stakeholders and external platform vendors
  • Define business requirements, architect, create, and maintain the code base for any automations
  • Create API-based solutions to integrate solutions between learning platforms
  • Identify and solve manual processes to automate
  • Build relationships with the organization and adjacent business units to solve larger problems as a team
  • Lead vendor teams handling publishing for content, including localized content
Desired Qualifications
  • Ability to solve high complexity issues
  • Experience communicating updates and resolutions to customers and cross-functional stakeholders

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

15%

1 year growth

28%

2 year growth

89%

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

INACTIVE