Engineers - Java Spring Boot SQL NoSQL AWS AI/ML
Kforce's client seeks a team of Java Spring Boot SQL NoSQL AWS AI/ML Kubernetes/Docker/ECS Kafka Engineers in Chicago, IL. This is an opportunity for fulltime employment with client. Responsibilities:
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Formal training or certification on software engineering concepts and 2+ years applied experience - mandatory
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages - Core Java, Spring Boot, REST API
- Understanding of Java Design patterns and experience on implementing it in application development
- Overall knowledge of the Software Development Life Cycle
- Experience writing test cases using testing tools like JUnit
- Experience using code versioning tools, such as Git, Bitbucket
- Experience with Test Driven Development (TDD)
- Understanding of agile methodologies such as CI/CD, Application Resiliency
- Exposure to AI - using python, AI, Copilot in VScode/Intellij
- Knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS, etc.)
- Knowledge of messaging - Kafka
- Knowledge of Relational/NoSQL databases
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