Nutanix Inc.-posted about 2 months ago
Full-time • Mid Level
Hybrid • San Jose, CA
5,001-10,000 employees
Publishing Industries

Are you a passionate developer with experience in leveraging AI/ML in application development? If so, join the SaaS Engineering team at Nutanix to innovate a dynamic learning platform for employees, customers, and partners, where your skills in building recommendation engines, contextual search, and chatbot assistants will shape the future of our education platform. About the Team At Nutanix, you'll be joining the SaaS Engineering team, which, in part is responsible for developing the learning management system, Nutanix University. Our team is diverse, with members spread across India, San Jose, CA, and Durham, NC, fostering a vibrant and inclusive culture that values collaboration and innovation. We work in a dynamic environment following Agile methodology, operating in one-month sprints to ensure consistent progress while allowing us to adapt to new challenges and opportunities. You will report to the Director of Engineering, who is dedicated to providing support and guidance to help the team thrive. Our work setup is hybrid, requiring employees to come into the office three days a week, which allows for seamless collaboration while still providing flexibility.

  • Participate in agile sprint processes, including requirement brainstorming and estimations.
  • Design and implement software solutions, ensuring alignment with project requirements.
  • Conduct peer code reviews and contribute to team code assessments.
  • Mentor junior team members, providing guidance and support in their development.
  • Engage in maintenance and production support post-release to ensure product stability.
  • Collaborate effectively with international teams, minimizing time zone challenges.
  • Stay updated on AI and app development trends, contributing innovative ideas to discussions.
  • Document features and processes for release management and improve team efficiency.
  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • Hands-on experience in full-stack application development using Node.js.
  • Proficiency in Python for AI/ML pipeline development and model integration.
  • Demonstrated experience working with machine learning models, LLMs, or AI-related projects.
  • Proficiency in web server and application server development.
  • Experience with modern JavaScript frameworks (Vue.js or similar) for frontend development.
  • Proven ability to design scalable software solutions and microservices architecture.
  • Experience working in Agile development environments with sprint-based methodologies.
  • Strong ownership mindset with ability to work independently and take accountability for deliverables.
  • Excellent communication and presentation skills for technical discussions and knowledge sharing.
  • Demonstrated mentoring capabilities for guiding junior developers and team members.
  • Proactive attitude with ability to ask thoughtful questions and contribute innovative ideas during technical discussions.
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