Job Description
Job description :
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Location : Minneapolis,MN
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Key Responsibilities
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- Architect, design, and develop high-performance Java applications using Spring and Spring Boot.
- Build and optimize event-driven, real-time systems leveraging Apache Kafka and MQ.
- Develop, deploy, and manage microservices on Docker, OpenShift, or other Kubernetes platforms.
- Engineer CI/CD pipelines with GitHub, GitHub Actions, Maven, Gradle, Artifactory, and enterprise DevOps tooling.
- Write clean, testable, production-grade code using JUnit, Mockito, and automated testing frameworks.
- Deploy and manage applications on the OpenShift Container Platform (OCP).
- Design high-performance data solutions using SingleStore (MemSQL), Redis, MS SQL, and DB2.
- Integrate with enterprise platforms like WebSphere and distributed systems.
- Implement observability and performance monitoring via ELK, Grafana, and telemetry tools.
- Apply secure coding practices using Snyk, Aqua, and GitHub security scanning.
- Collaborate with architects, product owners, and cross-functional teams to deliver scalable, resilient solutions.
- Participate in code reviews, mentor peers, and set the bar for engineering excellence.
- Troubleshoot complex issues across the full stack, ensuring reliability, uptime, and performance.
- Work with enterprise automation and deployment tools, including Stonebranch and UCD (UrbanCode Deploy).
- Apply deep knowledge of brokerage operations, market data, trade lifecycle, risk controls, and regulatory requirements to ensure accuracy and compliance.
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\n Required Qualification
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- s7+ years of hands-on experience with Java, Spring, and Spring Boot, delivering enterprise-grade systems
- .Advanced expertise with Kafka, including high-throughput streaming and scalable producers/consumers
- .Proven experience deploying and supporting applications on OpenShift or other Kubernetes platforms
- .Strong experience with SingleStore (MemSQL) or other distributed SQL databases
- .Hands-on experience with Redis, MS SQL, DB2, and high-performance data architectures
- .Proficiency with Linux, shell scripting, and distributed systems fundamentals
- .Command of GitHub, GitHub Actions, Maven, Gradle, Artifactory, and CI/CD best practices
- .Experience with Docker, WebSphere, and enterprise deployment pipelines (e.g., UCD)
- .Familiarity with observability stacks such as ELK and Grafana
- .Prior experience in financial services, especially brokerage or trading systems, strongly preferred
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