Software Engineer
Software Engineer
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Job Description
Join Udemy. Help define the future of learning.
Udemy is an AI-powered reskilling platform built to help people and teams grow. Its personalized practical and focused on real-world impact.
Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use whether theyre picking up something new or leveling up to stay ahead.
Over 80 million learners and 17000 businesses already learn with Udemy. If youre excited by change energized by learning and ready to have a real impact youll feel right at home.
Learn more about us on our company page.
Where we work
Udemy is a global company headquartered in San Francisco with additional U.S. offices in Denver and Austin and international hubs in Australia India Ireland Mexico and Trkiye. This is an in-office position requiring three days a week in the office (Tuesday Wednesday Thursday) and flexibility on Mondays and Fridays.
About your skills
Data & ML Infrastructure: You have experience building data pipelines and/or ML workflows in Python and are comfortable working with structured data orchestration tools and scalable processing frameworks.
Cloud Platform Management: You work with cloud platforms (AWS Azure or GCP) to deploy and manage infrastructure that supports batch and real-time data processing as well as experimentation with generative AI models.
System Architecture: You contribute to building well-structured modular systems that support data quality traceability and reusability across analytics and AI/ML applications.
Cross-team Collaboration: You work effectively with data scientists ML engineers and product teams to deliver foundational data capabilities that power AI and product features.
About this role
As a Data Intelligence Platform Engineer at Udemy youll help build and maintain the core data systems that power our analytics and AI/ML features and applications.
Play a key role in advancing Udemys mission to democratize education by providing reliable scalable data infrastructure that supports personalized learning and AI-powered tools.
What youll be doing
Develop and maintain data pipelines and platform components in Python using Spark and orchestration tools to enable reliable data delivery.
Collaborate with teams to support use cases across analytics and AI/ML applications.
Evaluate and adopt new frameworks and tooling that enhance the platforms support for AI/ML workloads
Build and maintain data quality guardrails including validation lineage tracking and observability.
Learn from and support more senior engineers in shaping the platforms direction and grow your skills across data and ML engineering domains.
Contribute to privacy- and security-conscious data practices especially as they relate to AI/ML input/output flows.
Participate in on-call rotation during business hours to ensure platform reliability.
What youll have
Proficiency in Python data structures algorithms and design patterns
Experience with Databricks and AWS including storage virtual machines access management networking etc
Experience with data processing libraries (e.g. PySpark Pandas Scalable Data Pipelines) data formats (Delta/Iceberg) and/or ML toolkits.
Interest or experience working with AI/ML integration frameworks and building workflows involving reasoning tool usage or multi-step agents.
Strong problem-solving skills and attention to data correctness latency and platform performance.
Ability to work collaboratively on cross-functional teams and communicate technical ideas clearly.
Exposure to streaming data systems such as Apache Kafka or Kinesis.
Familiarity with Docker and Kubernetes and an interest in deploying and scaling AI-related services.
At Udemy we strive to be transparent around compensation. Actual compensation for this role is based on several factors including but not limited to job-related skills qualifications experience and specific work location due to differences in the cost of addition to a base salary this role is also eligible for equity.
Hiring Compensation Range
$109000 - $136000 USD
Why work here
Youll grow here.
Learning is part of the job. Youll get full access to Udemy courses a monthly UDay to invest in yourself and a budget to spend on whatever helps you improve. Many people are diving into AI lately but what you focus on is up to you.
AI is real here.
We use it in the way we learn and the way we work. Youll have the space and tools to experiment apply and get better at using AI in practical ways.
Youll own your work.
We trust people to lead make decisions and follow through. You dont need to wait for permission or layers of approval to have an impact.
Youll build with others.
We collaborate openly and shape ideas together. Everyone has a voice and good thinking is welcomed from any direction.
Youll see your impact.
What you build helps people grow their skills change their careers or find a path forward. Youve got the experience why not use it to help others gain theirs
Bring your curiosity. Well bring the platform and the support. Lets LEARNtogether.
Our Benefits Start with U
Our benefits start with you and were built to provide you and your family with the protection and care you need making it easy to access the right coverage when you need it most. Benefits vary by region and we encourage applicants to review our Australia Benefits India Benefits Ireland Benefits Mexico BenefitsTurkiye Benefits & US Benefitspages to get an understanding of some of the benefits we offer. For details on region-specific benefits please refer to the information provided during the hiring process.
At Udemy we value diversity and inclusion and consider qualified applicants without regard to race color religion sex national origin ancestry age genetic information sexual orientation gender identity marital or family status veteran status medical condition or disability. We understand that not everyone will match each of the qualifications. However we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align wed love to hear from you!
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Employment Type
Full Time
