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# Senior Software Engineer

- **Company:** LHC Group, Inc.
- **Location:** Minnetonka, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Extract Transform Load (ETL), IBM InfoSphere DataStage, DevOps, Java Platform Enterprise Edition (J2EE), Github, Hibernate (Java), Java Web Services, Spring Framework, NoSQL, Cloud Services, Standard Sql, Software Engineering, SQL Databases, Web Services, Git, Kubernetes, Apache Kafka, Xl Deploy, Data Pipelines, Docker, Microservices
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/job/us9ed73199bb6d54a25c9695ab084d9e1f/eaa

## About the Role

* Bachelor's degree or equivalent related experience
 * 8+ years of experience developing software applications
 * 5+ years of experience developing Java / J2EE, Web Services, Spring, and Hibernate
 * 3+ years of professional experience administering Kubernetes environments
 * 3+ years of experience developing solutions hosted within public cloud providers such as Azure/AWS, etc
 * 3+ years of professional experience using SQL
 * 3+ years of experience in CI/CD and DevOps practices

Preferred Qualifications:

 * 3+ years of experience with Kafka Producer, Kafka Consumer and Kafka Streams
 * Git, GitHub, GitHub actions, GitHub Pipelines
 * 2+ years of experience with DataStage PX ETL development
 * Docker
 * XL Deploy
 * General CI/CD pipeline experience

## Description

* Design and develop solutions for the current project through cloud-hosted Java Microservices/Kafka streams and DataStage ETL jobs
 * Mentor and guide developers on the team
 * Hands-on work with deliverables of java services, cloud solutions, data pipelines, Kafka streaming and DataStage PX to implement solutions
 * Help create strategic direction for how to transform other components of the app using modern technologies (Kafka, services, SQL and NoSQL DB)
 * Help triage and fix issues with solution in Production
 * Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks
 * Evaluate emerging trends to drive continuous improvement and strategic innovation


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