Position : Java API AWS AI Engineer

Location : Gurgaon, Onsite

Type : Full-time, Direct Hire

Local to NCR, Immediate Joiners (Serving Notice only)

Previous MNC exp

Exp Level : 4 - 6 Years

:

Key Qualifications and experience :

- 5 - 6 years of information technology experience with full application development life cycle and systems integration experience.
- Ability to understand existing (large) codebase written in Ant, Maven, Gradle, JSP, J2EE, EJB, Spring, Hibernate, etc. and identifying all dependencies.
- Should have knowledge of application deployment and Software development life cycle.
- 5+ years of experience in development in J2EE framework.
- Good to have 1 year of experience in development in AWS Serverless (Lambda, Step Functions, SQS, SNS).
- AI Assisted Development - Co-pilot, BMAD, any other AI tools that help in overall SDLC.
- Preferred knowledge in Python, Agentic AI space, AWS services.
- Experience of migrating legacy applications to latest technologies; on-premises infrastructure to cloud such as AWS, GCP.
- Experience coaching, mentoring and delegating tasks to a team of talented software engineers.




- Should be motivated to devote time to spreading knowledge widely via talks, blog posts or written documentation.

Technical Skills :

- Java 8 (or higher) / J2EE
- AWS Serverless (Lambda, Step Functions, SQS, SNS)
- Integration Services - Spring : Spring Boot, JWT Authorization, API Gateway, Spring Framework 4.x (or higher), Spring JMS (Java Messaging Services), Spring MVC (model-view-controller), Swagger
- Backend Data Integration :
- JPA/Hibernate/JDBC
- Java Batches / Spring Batches
- EJB/Hibernate/JPA, Spring MVC Spring-Data
- Mainframe experience is positive to have.
- WebServer : Hands on experience
- WAS WebSphere Liberty Cloud Server
- WebLogic
- Database, ETL, reporting : SQL Server, Oracle, SSIS, SSRS
- UI Skills : JSP, React, Bootstrap, java script, jQuery, AJAX, HTML, CSS, React / GWT
- Exposure to cloud is preferred with Docker/Kubernetes/RedHat OpenShift
- Professional certification in cloud such AWS/GCP is a definite plus.
- Tools :
- Bitbucket/GIT
- Jenkins
- SonarQube
- Postman
- IntelliJ
- Terraform

📌 Java AWS AI Engineer (India)
🏢 Career Infosystem
📍 India