CSQ125R123
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 (LE) to automate manual processes and ensure the most efficient and effective systems are available to create compelling customer training. This role will collaborate with other learning platform engineers, cross-functional stakeholders, and external platform vendors, define business requirements, develop and maintain the code base for any automation, and continuously seek to improve the user experience for any customers using said automation.
Outcomes
- 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 more significant problems
Competencies
- Required:
- 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)
- 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)
- Knowledge of lab platform technologies
Benefits
Comprehensive health coverage, including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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, LinkedInandFacebook.
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.
United States
