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Analysis and Design Support:

Participate in client discussions to support technical analysis on business requirements and priorities.
Perform the analysis, design, documentation, implementation, and maintenance of large/complex IT solutions projects related to passenger rail transportation systems
Conduct detailed business analysis to architect & design IT solutions that meet functional and technical requirements.
Document and deliver sizing, external design, detail design, and other documents as required by the project.

Application Development:

Design, develop, test, and implement business-critical, cloud-native, enterprise-level services focusing on high availability and high performance.
Develop and integrate Kafka streams for real-time data processing and event-driven architectures using Amazon Managed Streaming for Kafka (MSK).
Develop and maintain technical documentation.
Production and Testing Support:
Provide ongoing support, perform problem analysis and resolution.
Employ Test Driven Development methodologies to create use-case scenarios and unit test cases.

TECHNICAL EXPERTISE:

Strong back-end development experience with Java v17+, including extensive use of the Spring and Spring Boot 3.x ecosystems.
Experienced in REST and SOAP-based API development.
Proficient in developing Data Access Layers (DAO) using Spring Data JPA, SQL, and Hibernate.
Skilled in using build process automation tools like Gradle and Maven.
Experienced in implementing CI/CD pipelines using tools such as Git, Atlassian BitBucket, and JIRA.

TESTING AND METHODOLOGY:

Solid experience with Test Driven Development and Behavior Driven Development, using tools such as Junit, Mockito, PowerMock, Cucumber, and Cypress.
Understanding of the Twelve-Factor Application Methodology.

CLOUD AND SECURITY:

Hands-on experience with cloud-native design, development, and delivery using AWS technologies like EC2, S3, Lambda, SQS, SNS, API Gateway, RDS/Aurora, and others.
Knowledge of application security vulnerabilities and mitigation techniques.

SOFT SKILLS:

Excellent oral and written communication skills.
Strong analytical thinker with the capability to troubleshoot and resolve intricate issues.
Education and Experience:
Bachelor�s degree in Computer Science, Systems Engineering, or a related technical field, or an equivalent combination of education and 7+ years of relevant work experience.

NICE-TO-HAVE SKILLS:

Knowledge of Electronic Data Interchange (EDI) systems and processes.
Familiarity with AWS Step Functions and other advanced AWS services.
Ability to work effectively under deadlines in an agile delivery environment, including experience with SAFe 6.x.