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What you'll do...
Build and Support a sophisticated segmentation tool helps to build audiences for marketing/advertising purposes using demographics, geo, member profile, interests, purchase and interaction behaviors. It also has potential to build audiences based on Lifestyle, Personas, Brand/Category Audiences. It can also build Audiences by operating on ML Models like Brand Affinity, Item/Category Propensity, Likely to Renew combining with Member 360 Facets, Demographic and geo attributes.
What you'll do:
Build and maintain backend software services that can handle millions of requests per day to support advertising on Walmart.com and its subsidiaries.
Utilize Spring Boot and Play framework in Java or Scala to design and implement low-latency REST APIs with Azure SQL Server and Cassandra as storage systems, enabling brand advertisers and API partners to manage ad campaigns in a self-serve manner.
Develop and maintain APIs allowing advertisers to generate on-demand reports, perform real-time event queries, and perform ad-hoc analysis of aggregated data using Druid and Elastic Search.
Work with modern web-based architectures, including REST APIs, Serverless, and event-driven microservices.
Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure.
Participate in 24/7 on-call rotations to troubleshoot production issues across cross-functional teams.
What you'll bring:
Minimum of 3 years of experience designing and implementing REST API web services using Spring Boot and/or Play Framework in Scala or Java.
Experience building, scaling, and maintaining high-quality API products with an advertiser-centric focus.
Knowledge of designing and testing relational database management systems such Azure SQL, and NoSQL databases like Cassandra and Elastic Search.
Proficiency in testing and troubleshooting using JUnit tests and Mockito tests.
A strong understanding of system design, data structures, and algorithms.
Familiarity with object-relational mapping tools, particularly Hibernate, is desirable.
A growth-oriented mindset and a willingness to raise the technical bar, as well as to identify opportunities for improving existing processes, tools, and systems to achieve high scale and productivity.
Experience with real time message processing using Apache Kafka.
Experience working with Docker and Kubernetes a plus.
Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus.
Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences. A strong sense of accountability and ownership, self-discipline, and focus on high-quality deliverables
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
The annual salary range for this position is $90,000.00-$180,000.00 Additional compensation includes annual or quarterly performance bonuses. Minimum Qualifications...משרות נוספות שיכולות לעניין אותך