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Lead Software Engineer

RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CGP companies manage their supply chain and marketing initiatives to drive sales results.  Using machine learning, streaming analytics and predictive models, we are the go-to cloud based; peta-scale SaaS data management platform in the retail space.  Join our team as a Lead Software Engineer and join a global innovative technology leader headquartered in Silicon Valley.


The Lead Software Engineer will create large scale, data centric applications for advanced analysis using NoSQL DBMS’s analytical functionalities as well as elastic computing tech stack on top of private/commercial cloud platform, also will work on the framework with structure and interface designed for quick, convenient and efficient research and development works for data science projects. They would process terabytes of data on a daily basis to determine meaningful patterns and trends, perform statistical and predictive analysis, detect relationships embedded in the data, and deliver mission-critical insights. This also involves the applications and components to define and manage the metadata and masterdata, and the ability to manage the user permissions definitions. Given the massive data volumes and time-sensitive goals of the analysis, applications need to be able to scale, and to use the latest techniques in data streaming, memory management, parallel execution/computing, distributed messaging, and code optimization. Applications must be robust, fault-tolerant, and highly accurate as they deliver key business insights to senior management for RSi customers.

RSi is growing rapidly, and there are ample opportunities for career development along both technical and management tracks. The work atmosphere is team-oriented and knowledge-intensive: motivated professionals are highly appreciated.                                                                                                                                                    


  • Work with business users to define requirements, design and implement sophisticated analysis algorithms that address business needs.
  • Develop Applications using the latest techniques in massively scalable parallel distributed environments.
  • Independently design, code and test major features, as well as work jointly with other members of the core development team.
  • Develop high quality applications using object oriented programming and following a standard software lifecycle development process.
  • Optimize and tune CPU, RAM, network, and IO resource consumption in a cluster environment.
  • Lead a team of software engineers to deliver committed projects on schedule and with quality.


  • Masters’ Degree in CS/Mathematics/Statistics/Engineering with 7+ years in industry.
  • Several years of practical experience creating analytic and/or numerically intensive applications using massively parallel distributed technology on private/commercial cloud environment.
  • Several years of practical experience developing large scale data analysis applications based on a NoSQL DBMS engine.
  • In-depth knowledge of programming concepts, techniques, programming, tuning, memory management in multi-threaded asynchronous environments (such as Java).
  • Experiences in Hadoop eco-system and elastic computing such as Spark is a plus.
  • Experiences in working under Agile methodology is a plus.
  • Proven track record of delivering high quality products on time.
  • Strong analytical and technical skills and demonstrated ability to creatively solve complex problems.
  • Technical leadership skills: project management of schedules, tasks, and people resources.


  • Good written and oral communication skills.
  • Strong technical documentation skills.
  • Good interpersonal skills.
  • Ability to conduct research into algorithmic issues, JEE standards, and products as required.
  • Ability to present ideas in user-friendly language.
  • Highly self-motivated and directed.
  • Keen attention to detail.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.
  • Strong customer service orientation.
  • Experience working in a team-oriented, collaborative environment.


Retail Solutions, Inc. ("RSi") develops and delivers a comprehensive suite of award-winning software-as-a-service (SaaS) solutions that turn Retailer “downstream data”, such as point-of-sale (POS), supply chain, merchandiser feedback and category data, into actionable visibility into the store and onto the shelf for their suppliers.

RSi, the largest and fastest-growing company in the Retail Execution Management field, has more experience with processing customer-specific retailer data than any other company. Retailers and consumer product goods (CPG) companies trust Retail Solutions to grow sales, reduce out-of-stocks, improve promotion execution and effectiveness, maximize retail operation productivity and foster collaborative relationships in the retail industry to improve product availability for the end-consumer.

RSi serves more than 500 CPG Companies, including 23 of the top 25 global consumer goods companies, and processes data from more than 175 leading retailers in the Americas and Europe.

Retail Solutions, Inc. is headquartered in Mountain View, CA and has offices in Providence, RI, Bentonville, AR, Minneapolis, MN, Chicago, IL, Brentford, UK, Paris, France, Munich, Germany, Pune, India, and Shanghai, China.

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