About Udemy
Udemy is the world's largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work: Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
About this role
We're excited to say that this is a fully remote role with eligibility to work anywhere in the United States. While you will get together with your team on a semi-regular basis (monthly or quarterly, depending on the team), we want you to thrive wherever you work best!
Are you excited about building a DataMesh platform on a global scale? Do you want to build a self-service, highly scalable platform to power Udemy's groundbreaking AI, ML, and data products? Udemy's Data org is looking for self-driven, creative DataMesh platform engineers passionate about changing the world by democratizing online education.
We are building highly available, scalable data infrastructure, services, tools, and libraries that will serve critical data discovery, ML/data pipeline development & deployment, data security & compliance, and self-healing data operational needs.
Come join us and play a key role in developing and driving the adoption of our DataMesh, data-centric micro-services, data engineering and ML platform.
What You'll Bring

• 5+ years of experience in running BigData stack with AWS services and security features. AWS Certification preferred;
• 3+ Experience with container systems (e.g., Docker) and container orchestration (e.g., ECS/EKS, Kubernetes)
• Fluency with one or more current generation scripting languages used by DevOps professionals (Python, GO etc).
• Experience with automation frameworks/tools like Git, Jenkins, Terraform, Ansible is a MUST.
• Deep expertise in distributed data systems - Hive, Spark, Presto, Kafka, Redshift, Databricks, AWS S3, EMR, Athena
• Self-starter, quick learner and a great team player
• Strong communication skills with demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
• Active contributions to open source projects is a plus
• Experience in Sagemaker, ML Ops is a plus

Education & Experience
B.S., M.S. or Ph.D. in Computer Science or equivalent experience.
Minimum Salary Expectations: $115,000
We understand that not everyone will match the above qualifications 100%. If your background isn't perfectly aligned but you feel you would be a great addition to the team, we'd love to hear from you .
If you just can't wait to learn more about Udemy (believe us, we get it!) and the incredible work that our teams are doing, here are a few more resources:
How Udemy Started [video]
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
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