Join an Agile Scrum team providing software development and maintenance for delivery of releasable software in short sprint cycles.
Responsible for activities associated with delivery of software solutions associated with customer-defined systems and software projects by working in close collaboration with software developers/engineers, stakeholders, and end users within Agile processes.
Requirements
*Required: *
Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria include but are not limited to:
1 year check for misconduct such as theft or fraud
1 year check for illegal drug use
3 year check for felony convictions
5+ years of professional experience in Java backend development.
3+ years of hands-on experience building and deploying applications with Spring Boot.
Deep, proven expertise with Apache Kafka, including both the Producer and Consumer APIs, Kafka Streams, and related concepts (e.g., topics, partitions, consumer groups, offsets).
Strong experience implementing Kafka solutions using Spring framework. Proficiency with Kafka Schema Registry for schema management and evolution.
Solid understanding of event-driven architectures, distributed systems, and microservices design patterns.
Experience with relational databases (e.g., PostgreSQL, SQL Server, Oracle) and ORM frameworks (e.g., Spring Data JPA, Hibernate).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Experience with CI/CD pipelines and DevOps practices. Strong analytical, problem-solving, and debugging skills.
Excellent communication, interpersonal, and teamwork abilities.
Professional Experience: at least seven (7) years related technical experience, with software design, development and implementation
College degree (B.S.) in Computer Science, Software Engineering, Information Management Systems or a related discipline.
Equivalent professional experience will be considered in lieu of degree
*Desired:*
Direct experience with Confluent Kafka.
Experience with other NoSQL databases (e.g., MongoDB, Cassandra) or in-memory data stores (e.g., Redis).
A strong understanding of data governance and data quality principles in an event-driven context.
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