Java Full stack Engineer

Tata Consultancy Services Limited

Parsippany-Troy Hills, NJ, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Business Logic Unit Testing Cloud Engineering COBOL (Programming Language) Code Coverage Databases

+39 more

Continuous Integration Data Structures Relational Databases Amazon DynamoDB Github Junit PostgreSQL NoSQL Scrum Methodology Mockito Cloud Services Swagger Amazon Simple Notification Service (SNS) Software Engineering SQL Databases Openapi Cloud Platform System ReactJS Delivery Pipeline Spring-boot Backend AWS ECS Event Driven Architecture Build Management Amazon Relational Database Service AngularJS Integration Tests Kubernetes Front End Software Development Functional Programming React Testing Library Api Design Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Serverless Computing Docker Jenkins Microservices

Job description

Build the cloud-native replacement applications that take over the business functions currently running on the mainframe - this is the core job; each engineer owns specific modules from design through deployment
Develop backend microservices using Java and Spring Boot that implement business logic equivalent to existing COBOL programs - working closely with SMEs to understand what the legacy code does and ensuring the new service does it correctly
Build frontend web UIs using React.js or Angular that replace legacy mainframe screens - designing workflows that are intuitive for business users who are transitioning from character-based interfaces
Design and build REST APIs that expose migrated business functionality - ensure APIs are secure, versioned, documented in OpenAPI/Swagger, and aligned with the integration contracts agreed with other workstream teams
Integrate new services with AWS managed services - RDS/Aurora for relational data, DynamoDB for high-throughput use cases, SQS/SNS for async messaging, and Lambda for serverless processing
Work with the Data Engineer to consume migrated data from AWS target stores - understand source data mappings, validate data in the new schema, and ensure application behavior is correct against migrated datasets
Write comprehensive unit and integration tests for all delivered code - not as an afterthought but as part of the Definition of Done for every story
Participate actively in all sprint ceremonies - daily stand-up, sprint planning, backlog refinement, and retrospective - with clear daily updates and early escalation of technical blockers
Conduct and receive peer code reviews - enforce team coding standards, flag design issues, and treat every review as both a quality gate and a learning opportunity
Maintain technical documentation as a sprint deliverable - API specs, data flow diagrams, deployment notes, and known issues - so the program does not accumulate undocumented knowledge debt

Requirements

6+ years of hands-on full stack development experience; strong proficiency in Java with Spring Boot for backend microservices development - this is the primary backend stack for the migration program
Solid frontend development skills in React.js or Angular - ability to build responsive, accessible web UIs that replace legacy mainframe screens and green-screen interfaces end users currently interact with
Strong REST API design and development skills - ability to design clean, versioned, well-documented APIs that serve as the interface between the new cloud platform and frontend applications
Hands-on experience with AWS cloud services used in migration programs - EC2, Lambda, API Gateway, RDS/Aurora, DynamoDB, S3, SQS, SNS, Cognito - and understanding of when to use each
Proficiency in SQL for relational databases; experience working with both relational (RDS/Aurora, PostgreSQL) and NoSQL (DynamoDB) databases in cloud-native application design
Experience with microservices architecture patterns - service decomposition, event-driven design, API-first development, and 12-factor application principles for cloud-native workloads
Familiarity with containerization using Docker and deployment via AWS ECS or EKS (Kubernetes) - understanding of how to package, deploy, and manage services in containers
Hands-on CI/CD experience - building and maintaining pipelines using Jenkins, GitHub Actions, or AWS CodePipeline for automated build, test, and deployment across environments
Experience with unit testing and integration testing frameworks - JUnit, Mockito, Jest, or React Testing Library - and commitment to maintaining meaningful test coverage
Ability to understand legacy mainframe data structures and business logic (with SME guidance) and translate them into equivalent cloud-native application behavior - the core skill of this migration program