Java/Spring boot Full Stack Developer

Title: Full Stack Developer - Java/Spring boot

Location: Richfield, MN (Hybrid)

Duration: 12 months contract

Position Summary/Job Description:

• Delivers complex, well-tested, and reliable product features with minimal oversight.
• Excels at breaking down large problems and demonstrates depth across software development lifecycle phases, including concept, design, testing, and deployment.
• Develops solutions and optimizations that improve performance across the full application stack.
• Comfortable independently triaging complex issues across multiple environments in a fast-paced, dynamic setting.
• Actively engages in pair programming, daily standups, sprint retrospectives, backlog grooming, and user story mapping.

Skills Overview:

What are the top five skills and number of years of experience required to perform this job?

• 5 years of experience building highly scalable, high-performing applications using Java, Spring Boot, Gradle with strong object-oriented design skills.
• Experience with Test Driven Development (TDD), including writing unit and integration tests using JUnit, Mockito, and/or the Spock Framework.
• Experience with streaming and messaging platforms such as Kafka, RabbitMQ, or Google Pub/Sub.
• Strong experience with CI/CD pipelines using tools such as Jenkins or GitHub Actions.
• Experience designing distributed application architectures that leverage NoSQL data stores such as Apache Cassandra for high throughput at scale.
• Experience with search and indexing systems such as Apache Solr for large-scale data access and query performance.

What are some preferred/nice to have skills the manager is looking for?

• Strong communicator and collaborator who works effectively across cross-functional teams, proactively brings ideas to the table, and takes initiative rather than waiting to be directed.
• Experience with front-end technologies including JavaScript, ReactJS and NodeJS.
• Experience with container platforms such as Docker.
• Experience designing, testing, and deploying scalable solutions on Google Cloud Platform utilizing services such as BigQuery, Cloud Functions, Cloud Run, and Dataflow.
• Experience with off-heap caching solutions such as Memcached.
• Experience leveraging AI-assisted development tools such as GitHub Copilot to accelerate development workflows.
• Ability to triage and manage complex, production issues