Remote Java Developer (GenAI) | AI-Driven Backend

Cognizant; Phoenix (AZ); Remote; USD 62,000 - 99,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Holidays

Paid Time Off

401(k) Plan

Employee Stock Purchase Plan

Parental Leave

Job summary

Cognizant Technology Solutions Corporation is seeking a Java Developer (GenAI) to design, build, and maintain enterprise-grade Java microservices and APIs. You will apply Generative AI tools such as Codex and Claude to accelerate development, improve code quality, and automate SDLC tasks in a collaborative Agile environment.

The role emphasizes cloud-native solutions on Azure, event-driven patterns with Kafka, and strong backend engineering practices.

Qualifications

• Strong hands-on experience in Java, Spring Boot, REST APIs, and Microservices.
• Experience with Microsoft Azure, Apache Kafka, and SQL.
• Codex is mandatory for AI-assisted development.
• Ability to design, build, and integrate AI agents into SDLC workflows.
• Knowledge of Claude or similar LLM-based tools and GenAI practices.

Responsibilities

• Design, develop, test, and maintain scalable Java applications and microservices.
• Build cloud-native solutions on Microsoft Azure and implement event-driven integrations.
• Develop data-driven backend services using SQL and modern engineering practices.
• Leverage Codex to accelerate coding, testing, debugging, and docs.
• Create and integrate AI agents to augment SDLC activities.
• Apply GenAI tools and Claude-like models to boost productivity.
• Collaborate with architects, product owners, and teams to deliver quality software.
• Participate in code reviews and continuous improvement initiatives.

Skills

Java

Spring Boot

Microservices

Azure

Kafka

SQL

Codex

Claude/GenAI

AI Agents

AIDLC

REST APIs

Job description

Cognizant Technology Solutions Corporation is seeking a Java Developer (GenAI) to design, build, and maintain enterprise-grade Java microservices and APIs. You will apply Generative AI tools such as Codex and Claude to accelerate development, improve code quality, and automate SDLC tasks in a collaborative Agile environment.

The role emphasizes cloud-native solutions on Azure, event-driven patterns with Kafka, and strong backend engineering practices.