- Architecture and Infrastructure
- Los Altos, CA, United States
Our client is adding new life to conversations of all types. Our Ambient Voice Intelligence™ technology processes verbal conversations to derive usable text and identify speakers. It is integrated with a variety of applications. Our direct-to-end user product will change meetings by generating interactive notes that are saved in one place and ready for sharing. Leading unified communications and online collaboration providers partner with us to offer transcription, deep content search, summarization, and conversational analytics.
At this time, they are seeking an experienced senior backend development engineer to help lead the development, deployment and management of our web services and related infrastructure to join our engineering team. Members of the engineering team work collaboratively as a group and with colleagues in technology, who are devising new speech recognition solutions, and product management to deploy systems and infrastructure to serve the needs of end-user professionals and enterprise clients across a number of verticals.
Need to Have:
- At least 5+ years of experience in developing/architecting large scale systems
- Hands-on coding and development in Python and C++
- Strong proficiency in using open source platforms such as Django, MySQL, and MongoDB and the ability to build business logic in Python/Django API's
- Good knowledge of common Internet platforms such as Apache, Nginx, Django, Kafka, MySQL, MongoDB, Memcached
- Strong ability to write and debug code that is reusable, testable and efficient
- Preferably have production server experience
- Follow best practices in DevOps to automate code deployment and continuous integration
- Ability to communicate effectively with peers in design, product management, technology, and engineering to respond to requirements and diagnose problems
- Passion for artificial intelligence and in exploring and using the latest and greatest development tools and platform
Nice to Have
- Ideally MS in Computer Science or related fields or those with a BS in a relevant discipline plus appropriate experience will be considered