Role                : Java Backend Engineer   

Location         : Chicago, IL ( Hybrid ) 

Visa         : USC/H1/H4

Don’t submit new linkedin 

F2F intervie required 

11 years would work

Please source pure Java profiles with strong hands-on coding experience. The consultant must be capable of leading development and writing code.

Do not share Architect or AI Architect profiles. The client is specifically looking for candidates with strong AWS expertise, particularly in AWS Fargate and AWS Kinesis.

Key Responsibilities

Required Technical Skills

(Required)

• Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
• Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.
• Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.  

Top candidates will also have:

• Extensive software development experience using Java 17+ and Spring Boot RESTful API development, including experience with API management and gateway platforms like Apigee.
• Proficiency in deploying and maintaining software within public cloud environments, such as AWS, Azure, or GCP.
• Proven ability to own the end-to-end software lifecycle, including writing comprehensive automated tests (unit, integration, and end-to-end) using frameworks like JUnit and Mockito.
• Experience designing and implementing Event-Driven Architectures using message streaming solutions (eg: AWS Kinesis, AWS SQS, AWS SNS, Apache Kafka, RabbitMQ, Apache ActiveMQ, Azure Event Hub)
• Deep understanding of datastores, including relational (PostgreSQL, MySQL, Oracle, AWS RDS/Aurora), NoSQL (MongoDB, Cassandra, AWS DynamoDB), search engines (Elasticsearch), caching (Redis), and vector databases.
• Hands-on experience configuring and deploying software via CI/CD pipelines using tools such as Azure DevOps, Jenkins, or Go CD.
• Familiarity with leveraging AI-assisted coding companions, such as GitHub Copilot or Cursor, to accelerate the software development lifecycle.
• Demonstrated success working within an Agile development framework, ideally Scrum.