About the role
Work Authorization: This requirement is open to sponsored candidates through sub-vendors - one layer deep. The candidates must be W2 employees of the sub vendor.
Must Have Qualifications
- Java- Version 11 or 17 is fine (Team will be on version 21), Spring Framework, Exposure to deployment and development work within AWS, exposure to Kafka, amd Skeema. Preferred: Mortgage or financial domain and 8+ years of experience.
- Schedule: Standard- some on call/after hours work required.
Interview Information
Rounds:2 rounds
- Duration: 30 Minutes| 60 Minutes
- Interview Type: Virtual | On-site
Required Experience & Education
- 8-10+ years of professional software development experience.
Candidate should have/be:
- Strong analytical skills.
- Be able to reason with and communicate ideas they bring to the table.
- Be open minded for others’ ideas. A motivated team player.
- Have experience using at least one Coding Agent enabled IDE (e.g. VSCode, Amazon Kiro)
- Have experience working with at least AI Coding Agents (e.g. Claude Code, Codex)
- Strong proficiency in below programming tools, languages & Frameworks
- Proficiency working with Docker containers.
- Understanding of the use of containers in the development process.
- Understanding of application lifecycle management.
- Ability to use a CI/CD pipeline (e.g. JIRA, Jenkins) to deploy applications.
- Java 8 (or above), I/O, Multithreading, Collections, Generics, Lambda
- REST API Web Services, GraphQL API query language.
- Spring Core, MVC, Spring Boot, Spring Security, Sprint Data (JPA), Dependency
Injection, DAO (Data Access Object), JTA, JDBC
- HTML, JavaScript, CSS, jQuery, Angular 9 or above.
- Apache Tomcat, Jetty Server.
- Maven, Gradle, Junit/ Mockito, Cucumber.
- Design Patterns like MVC, Singleton, Session, Facade, Factory, DAO (Data Access Object), DTO
- JSON technologies
- Streaming technology - Kafka
- AWS EKS
Be able to perform following Responsibilities:
- End-to-end software development - including analysis, planning, architecture, design, development, automated testing, deployment, and maintenance using industry best practices and security standards.
- Performance optimization - analyze system performance, identify bottlenecks, and implement solutions to enhance application efficiency and scalability.
- Collaborative solution delivery - partner with business stakeholders to gather requirements, leverage proof of concepts for technical decisions, and implement solutions with cross-functional teams.
- Production support and maintenance - support applications across environments, resolve critical issues, and fulfill ad-hoc requests to ensure seamless business operations