דרושים Staff Software Engineer ב-Walmart ב-United States, Seattle

What you’ll do:

• Develop real-time predictive analysis tools and back-end platform

• Enable data scientists, business and product partners to fully leverage our predictive analytics platform for very large volumes of data

• Demonstrate and clearly articulate reasoning for design and implementation choices

• Demonstrate willingness to take feedback and adapt solutions where appropriate

• Interact with other team members to incorporate their innovations and vice versa

• Participate in design and code reviews

• Demonstrate up-to-date expertise in Software Engineering and apply this to the development, execution, and improvement of action plans

• Lead and participate in medium-to large-scale projects

• Be the consummate team player with a demonstrable ability to learn quickly. Amazing ability to get stuff done

What you’ll bring:

• BS/MS in Computer Science or related technical discipline, or equivalent practical experience

• At least 3 to 5 years of engineering experience (the more the better)

• Experience building large scale projects with Java and Spring

• Willing and able to work with a variety of programming languages

• Good knowledge of RDBMS databases such as Oracle, MySQL etc

• Good knowledge of No-SQL databases

• Strong opinions backed by proven experience on how systems should be built

• Knowledge of DevOps, Provisioning, etc

• Experience with data models, the JVM, and Data Layer concepts (ORMs, JDBC, Connection Handling)

• Able to diagnose, debug, and optimize application data layer issues

• Strong and clear communicator that can listen to their team as well as clearly articulate their ideas

• A desire to bring innovative solutions to the challenges of scaling the API and platform

• Agile software development experience

• Well versed in data stores, distributed systems, data modeling and their associated pitfalls

• Nice-to-have: Experience with scripting languages such as Shell Script

• Nice-to-have: Experience with data streaming and caching

• Nice-to-have: Experience with Linux production environments