Java AWS AI Engineer

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

Job Description :

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 :

1. JPA/Hibernate/JDBC

2. Java Batches / Spring Batches

3. EJB/Hibernate/JPA, Spring MVC Spring-Data

4. Mainframe experience is good to have.

- WebServer : Hands on experience

1. WAS WebSphere Liberty Cloud Server

2. 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 :

1. Bitbucket/GIT

2. Jenkins

3. SonarQube

4. Postman

5. IntelliJ

6. Terraform