

Managing Engineering team members , inclusive of Development and Quality Assurance teams
and driving new features and functionality to the Interactions Artificial Intelligence Platform
offerings.
Technically hands on and contributing to the creation of a massively scalable, highly available
SaaS/ PaaS platforms
Be a technical team lead, in addition to people manager, managing and ensuring success of
technical teams
Provide a clear vision for the team to act on and ensure team members are performing at the
needed level to successfully execute goals.
Effectively manage multiple projects, timelines and initiatives at the same time.
Experience working with all phases of the Software Development Lifecycle – ranging from
architecture and design to implementation and testing.
Troubleshooting and fixing issues
Excellent oral and written communication skills and ability to effectively communicating within
and outside the team
Bring new technical ideas to fruition by prototyping new ideas and transforming research Proof
of Concepts into production ready software
Responsible for hiring and managing a talented team to design, build and ship next generation
products
Ability to travel – upwards of 20%
Required Skills & Experience:
10+ years of engineering experience working on systems/algorithm-level programming in
Java/Python
Experience with SQL and/or NOSQL databases
Experience working on products based on a distributed architecture deployed in multiple geo-
redundant CoLo/Cloud data centres.
3+ years of experience managing, growing and building Dev and QA teams.
Ability to operate in a highly ambiguous, rapidly evolving agile environment.
Leading strong technical teams with a maniacal focus on reliability and scalability
Hands-on manager who can also contribute in code
Knowledge of Linux operating system fundamentals
Experience working with the agile development methodology
Experience working in a fast paced environment
Experience building complex backend products like Speech Recognition Engines, Databases, etc.
Bachelors or Master’s degree in Computer Science or equivalent qualification
Desired Skils (Good to have):
Prior experience with NLP/voice technologies.
Prior experience with AI and machine learning technologies just as tensorflow, pytorch, and
scikit-learn.
Experience building real-time conversational systems leveraging SIP, webRTC, websockets, or
XMPP
Experience with profiling and troubleshooting large scale, concurrent and multi-threaded JVM
based languages (Java)
Experience with asynchronous, event driven architectures
Supervisory Responsibility:
This role will manage a group of developers as well as QA Engineers
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