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CSQ126R23
The Global Sr. Learning Platform Engineer will be responsible for developing and maintaining any code associated with integrations between Learning Platforms including but not limited to the learning management system (LMS), lab platforms, curriculum and lab publishing, and productivity tools. The Sr. Learning Platform Engineer will build relationships with stakeholders within Learning & Enablement (L&E) to automate manual processes and ensure the most efficient and effective systems are available to create effective training for our customers. This role will collaborate with other learning platform engineers, cross functional stakeholders and external platform vendors, define business requirements, create and maintain the code base for any automations, and continuously seek to improve the user experience for any customers using said automations.
The impact you will have:
- Develop, and maintain automation for the business to enable curriculum development and training delivery
- Create API-based solutions to integrate solutions between learning platforms
- Automate manual processes
- Build relationships with other learning platform engineers and with the organization and adjacent business units to solve larger problems
What we look for:
- 4-year degree (or equivalent experience) in Computer Science or related field with demonstrated ability
- 3+ years of experience in public cloud technologies (AWS, Google Cloud, or Azure)
- Proven experience in CI/CD tools (Source Control, Build, Deploy)
- Proven experience developing AI/ML integrated applications
- Ability to solve high complexity issues
- Ability to communicate across all teams within the organization to provide solutions
- Ability to take a given problem and complete a solution
- Development experience with JavaScript, CSS, Node.js, Python, and other API technologies
- Know the installation, configuration, platform operations, and troubleshooting of API products
- Experience in API design and creating RESTful API patterns
- Understanding of learning management systems (LMS)
- Understanding of lab platform technologies
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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