Description:
Responsible for the planning and engineering of an organization's systems infrastructure. Includes the implementation and design of hardware and software. Monitors the performance of systems.
Installing, configuring, testing and maintaining operating systems, application software and system management tools.
Ensure the highest levels of systems and infrastructure availability

Position Description
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As the Conversational AI Platform team we are building completely new capabilities to allow our customers to shop by seamlessly interacting with their connected devices using spoken language and other modalities. This team is part of the Emerging Tech organization and will build new experiences both in-house and in collaboration with strategic partners. Voice as a medium for shopping is still in its infancy and as part of this team you will get to work on industry leading solutions and be at the forefront of this emerging platform. You will get to part of defining how customers shop in everyday lives.
Areas of responsibility include:
- Involved in planning of system and development deployment as well as responsible for meeting software compliance standards
- Drives technical vision and influences product roadmap and vision
- Implement large-scale, complex, cross-functional projects
- Leads the discovery phase of large projects to develop high level design
- Supervise the work of cross-functional groups of engineers, including offshore associates
- Directs root cause analysis of critical business and production issues
- Documents testing and maintenance of application corrections and improvements
- Influence decisions, builds consensus, and resolves conflicts constructively and proactively
- Supports business objectives and ensures the business needs are being met

Required -

Bachelor’s degree in computer science or related discipline
Experience building and maintaining large scale data pipelines in online advertising, recommender system, search, e-commerce or relevant areas;
Experience building and/or maintaining machine learning models and pipelines;
Familiarity with job scheduler (e.g., Jenkins/Azkaban/Airflow);
Experience with Elastic Search/Solr, github, looper.

Qualifications
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- Bachelor’s degree in Computer Science or Computer Information Systems
- 7+ years of experience in eCommerce Software development
- 7+ years of programming experience in architecting highly scalable & performing Web Applications
Masters or equivalent degree in a computational science or engineering with 5+ years of experience or Bachelors with 7+ years experience;
Familiarity with distributed computing frameworks (e.g., Hadoop/Spark) and relational data base (e.g., Oracle, MySQL), and knowledge of NoSQL database;
Strong implementation experience with a programming language (e.g., Java/C++/Scala) and a scripting language (e.g., Python/Perl/Ruby), and familiarity with Linux/Unix/Shell environments;
Strong and demonstrable experience of building complex software systems with deep algorithmic solutions.