Senior Software Engineer, Udacity

• 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

Desirable

• 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
• 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