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The Udacity Enterprise Engineering team is seeking Back-End Software Engineers to build and enhance our Enterprise products. You will collaborate closely with Product, Design, and Operations teams to create and improve cutting-edge systems that empower customers, mentors, staff, and students. Your work will play a pivotal role in delivering robust, scalable, and high-performance applications that support a personalized and seamless learning experience.

Responsibilities:

• Lead the development, testing, and maintenance of scalable back-end services, APIs, and microservices.
• Architect and implement robust, secure, and reliable systems to handle complex workflows and high-performance requirements.
• Design and integrate AI-driven features into our systems, such as personalized recommendations, predictive analytics, and automated workflows.
• Collaborate with Product, Design, and Data Science teams to gather requirements and build solutions tailored to Enterprise and AI needs.
• Mentor junior engineers by providing technical guidance, code reviews, and fostering a culture of continuous learning.
• Optimize and refactor existing back-end systems for performance, scalability, and maintainability.
• Implement and enforce best practices for software development, including code quality, testing, deployment, and documentation.
• Troubleshoot and resolve complex system issues, ensuring high availability and reliability of our applications.
• Stay up-to-date with the latest AI and back-end technologies, and proactively propose innovative solutions.

What We Value:

• 6–8+ years of professional software engineering experience in a live production environment, including leadership roles or significant individual contributions.
• Proven expertise in building scalable, reliable, and low-latency systems.
• Demonstrated experience designing, building, delivering, and maintaining production-quality microservices.
• Proficiency with back-end frameworks and technologies, such as Go, Node.js, Python, and GraphQL.
• Expertise in relational databases, such as PostgreSQL, and familiarity with data pipelines and integrations.
• Experience implementing AI-driven features, such as recommendation engines, machine learning models, or natural language processing in back-end services.
• Familiarity with cloud environments like AWS, containerization tools such as Docker and Kubernetes, and CI/CD pipelines.
• Strong understanding of modern web protocols, security practices, and system integrations.
• Excellent problem-solving skills, with the ability to design elegant solutions for complex technical challenges.
• Ability to lead by example and collaborate in a fast-paced, team-oriented environment.

Preferred Qualifications:

• Hands-on experience with AI/ML frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with AI-based APIs (e.g., OpenAI, Hugging Face, or custom AI models).
• Experience designing distributed systems and real-time processing architectures.
• Deep understanding of performance optimization and cost-efficient cloud infrastructure design.
• Passion for delivering exceptional user experiences through AI personalization.

Location: While this is a remote role, applicants must be currently authorized to work in the United States of America on a full-time basis. Udacity will hire a qualified candidate for this remote based position anywhere in the US with the exception of the following states: Alaska, Connecticut, Delaware, Hawaii, Kentucky, Louisiana, Maine, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Rhode Island, South Dakota, Vermont, Washington D.C., West Virginia, Wisconsin, Wyoming, .

Compensation: The maximum base pay for this position is $165,000, depending on experience and location. This role is also eligible for a discretionary bonus, participation in Udacity’s equity plan, and generous benefits.

Benefits

Experience a rewarding work environment with Udacity's perks and benefits!

• Flexibility of working from home, with in-person collaboration spaces in Mountain View, Cairo, Dubai, and Noida.
• Flexible working hours.
• Paid time off.
• Comprehensive medical insurance coverage for you and your dependents.
• Employee wellness resources and initiatives (access to wellness platforms like Headspace, Modern Health).
• Quarterly wellness day off.
• Personalized career development.
• Unlimited access to Udacity courses and Nanodegrees.

What We Do

Forging futures in tech is our vision. Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, and to build the lives they deserve.

Don’t stop there! Please keep reading...

You’ve probably heard the following statistic: Most male applicants only meet 60% of the qualifications, while women and other marginalized candidates only apply if they meet 100% of the qualifications. If you think you have what it takes but don’t meet every single point in the job description, please apply!

We believe that historically, many processes disproportionately hurt the most marginalized communities in society— including people of color, working-class backgrounds, women, and LGBTQ people. Centering these communities at our core is pivotal for any successful organization and a value we uphold steadfastly. Therefore, Udacity strongly encourages applications from all communities and backgrounds.

Udacity is proud to be an Equal Employment Opportunity employer. Please read our blog post for “6 Reasons Why Diversity, Equity, and Inclusion in the Workplace Exists.”

Last, but certainly not least…

Udacity is committed to creating economic empowerment and a more diverse and equitable world. We believe that the unique contributions of all Udacians are the drivers of our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status, or military status, or any other basis protected by federal, state, or local laws.

As part of our ongoing work to build more diverse teams at Udacity, when applying, you will be asked to complete a voluntary self-identification survey. This survey is anonymous; we are unable to connect your application with your survey responses. Please complete this voluntary survey as we utilize the data for diversity measures in terms of gender and ethnic background in both our candidates and our Udacians. We consider this data seriously and appreciate your willingness to complete this step in the process, if you choose to do so.