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# Senior Software Engineer

- **Company:** Chabez Tech
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Cloud Computing, Data Systems, Distributed Systems, Apache Hadoop, Spring Framework, Object-Oriented Software Development, Cloud Services, Cloudera, Software Engineering, Systems Integration, TypeScript, Data Processing, Cloud Platform System, ReactJS, Apache Spark, Spring-boot, Information Technology, Apache Flink, Data Analytics, Enterprise Integration, Apache Kafka, Apache Nifi, Data Management, Api Design, Databricks
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/3043469d-5f29-4ba6-b826-24b2b4cf4621

## About the Role

We are seeking a Senior Software Engineer with overall 9+ years of IT experience in building large-scale data platforms and integrating AI capabilities into data systems. The ideal candidate will have a strong foundation in software engineering principles and a passion for working with data-intensive applications in both on-premises and cloud environments., * Experience in full-stack software engineering

 * Knowledge of object-oriented programming, API design, and scalable system design
 * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
 * Strong collaboration and communication skills
 * Curiosity, self-motivation, and a growth mindset

Preferred Skills:

 * Experience with Apache Flink, Apache Kafka, Apache NiFi, Apache Spark, and other data processing technologies
 * Knowledge of artificial intelligence and cloud computing
 * Experience with React.js, Spring Framework, and systems design

## Description

* Build platforms using Java, Spring Boot, TypeScript, and React
 * Develop distributed systems and enterprise integration solutions leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and cloud-native data services
 * Integrate AI-driven capabilities into data platforms with governance and guardrails for emerging use cases
 * Create reusable platforms that serve multiple products, teams, or business domains
 * Improve performance, scalability, and reliability across services and data processing layers
 * Work effectively with cross-functional teams to drive collaboration and communication
 * Continuously learn and grow in a fast-paced, agile environment to solve analytical, data-driven problems