Remote Java GenAI Engineer - AI-Driven Backend

Cognizant; Austin (TX); Teletrabalho; USD 62 000 - 99 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Resumo da oferta

Cognizant Technology Solutions Corporation is seeking a Java Developer (GenAI) to design and build scalable, cloud-native enterprise applications. You will work with Java, Spring Boot, microservices, Azure, Kafka, and SQL, applying Generative AI to accelerate delivery and improve code quality.

The role emphasizes AI-assisted development, AI agents, and integration of Claude/GenAI tools within the SDLC, in a remote US setting with Agile collaboration across teams to deliver secure,

Qualificações

• Strong hands-on experience in Java, Spring Boot, REST APIs, and Microservices.
• Experience with Microsoft Azure, Apache Kafka, and SQL.
• Hands-on experience with Codex for AI-assisted development is mandatory.
• Ability to design and integrate AI agents into SDLC workflows.

Responsabilidades

• 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 event-driven integrations using Apache Kafka.
• Utilize Codex and other GenAI tools to accelerate coding, testing, and documentation.
• Design AI agents to automate SDLC processes and improve productivity.
• Collaborate with architects, product owners, and engineers to deliver high-quality software.

Conhecimentos

Java

Spring Boot

REST APIs

Microservices

Azure

Kafka

SQL

Codex

Claude/GenAI

AI Agents

AIDLC

Ferramentas

Git

CI/CD

Descrição da oferta de emprego

Cognizant Technology Solutions Corporation is seeking a Java Developer (GenAI) to design and build scalable, cloud-native enterprise applications. You will work with Java, Spring Boot, microservices, Azure, Kafka, and SQL, applying Generative AI to accelerate delivery and improve code quality.

The role emphasizes AI-assisted development, AI agents, and integration of Claude/GenAI tools within the SDLC, in a remote US setting with Agile collaboration across teams to deliver secure,