Member of Technical Staff - Full Stack, ML Platforms

Key Skills

CSS3, Database, Docker, GraphQL, HTML5, Kubernetes-K8s, Machine learning techniques, Python Programming, React.js, RESTful, SaaS, Streaming APIs

Job Description

Do you love building a high performant machine learning system stack on the Nutanix Cloud platform ? We work in a fast-paced startup mindset and look forward to adding self-initiated team members who like to take ownership and build large scale data platform services. If you are a software engineer interested in building full-stack services for a Cloud platform, then we are interested in talking to you. The successful candidate should have demonstrated experience in building high-performing systems that are scalable and extensible. 

Your Role:

• Experience in implementing and running large-scale, distributed, highly available, and fault-tolerant applications 
• Expertise in full stack development with front-end technologies
• Excellent proficiency in designing and implementing RESTful APIs and/or with one of the major Node server frameworks or equivalent technology
• Experience in relational and non relational databases
• Writing efficient, scalable, and clean code along with unit and integration tests.
• Ability to write scripts and tools for development and debugging.

What you will bring:

• Good knowledge of data structures and algorithms
• Strong understanding of OS internals, virtualization, application performance monitoring, compute storage, networking management.
• Expertise in developing scalable RESTful APIs
• Experience working with databases and distributed systems
• Proficiency in full stack development(React.js/ GraphQL /CSS3/Webpack/HTML5)
• Strong JavaScript knowledge and development best practices including unit testing and continuous integration of applications.
• Experience in one or more languages: Go, Python etc. 
• Knowledge in web authentication technologies.
• Strong experience in docker, kubernetes and cloud native technologies
• Familiarity with on prem, cloud and hybrid software deployment architectures

Qualifications and Experience

• Bachelor's/Master's degree in Computer Science or related field required. 
• 5-8 years of experience with full stack development of Cloud/SaaS Applications
• Experience in designing and developing large scale software applications.