Job Summary
Serve as a senior software engineer designing and building secure microservices based mortgage loan solutions using modern Java Spring Boot Microservices AWS Managed Services with serverless computing [AWS Lambda Step Functions SQS SNS ECS EKS] Terraform scripts [Good to have] and SQL, ensuring high performance reliability and regulatory compliance while collaborating with cross functional teams to improve digital lending experiences for customers and partners.
Responsibilities
- Design scalable microservices based applications using modern Java and Spring Boot to support end to end mortgage loan processing with high performance and maintainability
- Develop robust backend components that implement complex mortgage business rules while ensuring code quality readability and reusability
- Implement event driven workflows using Kafka to enable reliable integration between loan origination underwriting servicing and external partner systems
- Optimize SQL based data access layers to handle large volumes of mortgage transactions while maintaining data integrity accuracy and traceability
- Apply secure coding practices and implement authentication authorization and data protection controls aligned with mortgage and financial regulatory expectations
- Collaborate with product owners business analysts and mortgage operations teams to refine technical requirements and translate them into clear implementation plans
- Work closely with quality engineers to define test strategies create automated tests and ensure that all mortgage loan scenarios are validated across services
- Troubleshoot production issues in hybrid environments by analyzing logs metrics and traces and implement durable fixes that prevent recurrence
- Use AWS services for deployment configuration and monitoring of Java microservices to ensure reliable operation in cloud and hybrid setups
- Contribute to continuous integration and delivery pipelines by improving build scripts test coverage and deployment automation for Java and Spring services
- Review peer code and provide constructive feedback that improves performance robustness and compliance with internal engineering standards
- Document service contracts data models technical decisions and operational runbooks in a clear manner so that teams can support and extend mortgage platforms efficiently
- Engage in regular refinement and planning sessions to estimate effort identify technical risks and deliver features within agreed timelines f
Qualifications
- Apply a strong command of Java seventeen core Java concepts and object oriented design to build reliable mortgage loan applications
- Demonstrate advanced expertise in Spring Boot and microservices architecture to design loosely coupled services tailored for mortgage life cycle events
- Use solid experience with Kafka to design topics consumer patterns and message flows that suit mortgage origination approval and servicing processes
- Exhibit proven skills in SQL database design query tuning and transaction management for financial data sets common in mortgage platforms
- Employ practical knowledge of AWS services related to compute storage and networking to deploy and operate Java based mortgage applications in the cloud
- Bring prior hands on experience in mortgage loan domain including origination underwriting closing and servicing to make informed technical decisions
- Show capability to work independently and while coordinating effectively with distributed teams during schedules
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.











