Senior Golang Developer- Minneapolis MN

· We are seeking a Senior Golang Developer with the following qualifications:

· 7+ years of overall professional experience in software development.

· At least 3+ years of hands-on experience in Golang development.

· Strong expertise in Apache Kafka for event-driven architectures.

· Proficiency in working with Neo4j, including Cypher query development and graph data modeling.

· Design, develop, and maintain robust, scalable applications using Golang.

· Implement and manage event-driven architectures using Apache Kafka, including producers, consumers, and stream processing.

· Develop and optimize graph database solutions using Neo4j, including Cypher query development and data modeling.

· Build and maintain RESTful APIs and microservices for seamless integration with other systems.

· Collaborate with cross-functional teams to gather requirements, define technical solutions, and deliver high-quality software.

· Troubleshoot performance bottlenecks in distributed systems and optimize application performance.

· Ensure code quality through unit testing, integration testing, and code reviews.

· Monitor system reliability and scalability, implementing improvements as needed.

· Stay updated on the latest trends in Golang development, Kafka streaming, and graph database technologies.

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

· 5+ years of overall professional experience in software development, with at least:

· 3+ years of hands-on experience in Golang development.

· Significant experience working with Apache Kafka, including topics configuration, schema registry, stream processing (e.g., Kafka Streams or KSQL), and system integration.

· Strong expertise in Neo4j, including Cypher query language, graph data modeling, and performance tuning.

· Solid understanding of distributed systems, concurrency patterns (e.g., Goroutines), and microservices architecture.

· Proficiency in writing clean, maintainable code with a focus on scalability and performance.

· Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.

· Experience with version control systems such as Git.

· Knowledge of CI/CD pipelines for automated testing and deployment.

· Experience with cloud platforms such as AWS, Azure, or GCP.

· Familiarity with other database technologies (e.g., PostgreSQL, MongoDB).

· Knowledge of DevOps practices for monitoring and maintaining production environments.

· Sound understanding of temporal framework (nice to have)