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        Software Engineer - Merchandising Systems (Remote)
- Kohl's (Menomonee Falls, WI)
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             About the Role As Software Engineer, you will collaborate closely with design, product, and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings. What You’ll Do + Develop high-quality applications using extreme programming (XP) practices and a user-centric approach + Participate in the entire application lifecycle in collaboration with designers, product managers and other engineers on the product team + Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes + Contribute to product engineering and software standards + Influence the team to reduce the toil received from production, advocate for product reliability and influence the benefits of tech debt reduction with matrices + Develop self and support the development of others through accountability and continuous learning + Adapt to constant change and model that for the rest of the team + Evaluate a user story for technical context, feasibility, acceptance criteria, testability and estimation + Additional tasks may be assigned Addendum BACKEND SOFTWARE ENGINEER + Experience in Java and JEE development, Spring Boot, Spring MVC, Spring Batch, Spring Security + Knowledge of build management tools such as Gradle or Maven + Demonstrated understanding of source control systems such as GIT + Database design and implementation experience in either SQL or NoSQL databases + Experience working with distributed caching technologies such as Redis + Knowledge of full SDLC requirements gathering, planning, estimation, development, testing, and deployment BIG DATA SOFTWARE ENGINEER + Experience in SQL, Python, Spark, Kafka and Airflow + Experience in build management and DevOps using Gitlab, docker, linux scripting + Data modeling and design experience, including Bigquery, SQL or PL/SQL + Good understanding of data as a product or data mesh topologies using cloud data lakes like Google Big Query, Amazon Redshift or Snowflake + Experience designing and implementing data pipelines using Apache Airflow, Spark, Python/Scala + Knowledge of real-time streaming technologies like Kafkaconnect, and Flume for messaging and streaming pipelines + Knowledge of handling PCI/PII data adhering to compliance standards like GDPR, PCI DSS, SOX, CCPA + Experience in the design and integration of GenAI tools and technologies like OpenAI, Gemini and Llama LLMs UI SOFTWARE ENGINEER + A passion for stellar user experience and design + Proficient in NodeJS and ECMAScript standards + Deep understanding of CSS patterns and HTML + Understanding of responsive design + Proficient in React and one other modern UI framework like Angular, Ember, or Vue.js + Consume reusable component libraries + Can compose CSS on the fly SaaS SOFTWARE ENGINEER + Hybrid Cloud Architecture Experience + Experience with integration platforms or frameworks + Experience integrating with large SaaS systems + Experience migrating on-prem systems to cloud solutions + Experience developing integration frameworks + Experience executing integration testing strategies APP MODERNIZATION SOFTWARE ENGINEER + Confident in Spring Boot, Kotlin, and Java + Proven experience in frontend development and frameworks ReactJS, NextJS + Proven experience in MS SQL Server and PostgreSQL + Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes + Experience in large scale migrations - Kafka and Postgres Connectors + Experience in Android, React, and .NET What Skills You Have Required + 2+ years of experience in software development + Knowledge of application design patterns, event-driven architecture, database schemas and testing strategies + Knowledge and experience with continuous integration, continuous deployment and test-driven development Preferred + Bachelor's Degree or equivalent in MIS, Computer Science or related field + Experience with large-scale application troubleshooting and performance tuning + Exposure to working with major cloud platforms (GCP, AWS, or Azure) + Familiarity and experience with XP (Extreme Programming) 
 
 
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