Java Developer (GenAI) — Cloud, Microservices & AI

Cognizant; Hartford (CT); Remote; USD 62,000 - 99,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

401(k)

Disability Coverage

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation in the United States is seeking a Java Developer (GenAI) to build scalable, cloud-native enterprise applications. You will apply Java, Spring Boot, Microservices, Azure, Kafka, and SQL, augmented by Generative AI tools to accelerate delivery and improve engineering productivity.

You will work with architects and product owners in an Agile environment, designing AI-driven workflows and agents that support the SDLC, while focusing on secure,

Qualifications

• Strong hands-on experience with Java, Spring Boot, REST APIs, and Microservices architecture.
• Experience with Microsoft Azure, Apache Kafka, and SQL, including cloud-ready services and event-driven integrations.
• Codex is mandatory for AI-assisted engineering and code generation.
• Ability to design, build, and integrate AI agents into AIDLC workflows across SDLC.
• Knowledge of Claude or similar GenAI tools and prompt engineering.

Responsibilities

• Design, develop, test, and maintain scalable Java applications, REST APIs, and microservices using Spring Boot.
• Build and support cloud-native solutions deployed on Microsoft Azure.
• Develop and maintain event-driven integrations and distributed systems using Kafka.
• Create backend services and data-driven applications with SQL and best practices.
• Leverage Codex to accelerate coding, refactoring, testing, debugging, and documentation.

Skills

Java

Spring Boot

Microservices

Azure

Kafka

SQL

Codex

Claude/GenAI

AI Agents

AIDLC

Job description

Cognizant Technology Solutions Corporation in the United States is seeking a Java Developer (GenAI) to build scalable, cloud-native enterprise applications. You will apply Java, Spring Boot, Microservices, Azure, Kafka, and SQL, augmented by Generative AI tools to accelerate delivery and improve engineering productivity.

You will work with architects and product owners in an Agile environment, designing AI-driven workflows and agents that support the SDLC, while focusing on secure,