Remote GenAI Java Developer

Cognizant Technology Solutions Corporation

City of Albany (NY)

Remote

USD 62,000 - 99,000

Full time

3 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Paid Holidays
PTO
401(k) Plan
Disability Insurance
Parental Leave
Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a highly skilled Java Developer (GenAI) to join our team and contribute to scalable, cloud-native enterprise applications. You will leverage Java, Spring Boot, Microservices, Azure, Kafka, and SQL, with Generative AI to accelerate delivery.

In this role you will design, develop, and maintain enterprise-grade Java applications and microservices, integrating AI capabilities, collaborating with architects and product owners, and delivering

Qualifications

  • Strong hands-on experience with Java, Spring Boot and microservices
  • Cloud experience with Azure, Kafka and SQL
  • Hands-on experience with Codex for AI-assisted development
  • Ability to design and integrate AI agents into SDLC workflows
  • Knowledge of Claude/GenAI tools and prompt engineering

Responsibilities

  • Design, develop, test, and maintain scalable Java applications and REST APIs
  • Build cloud-native solutions on Azure and event-driven integrations with Kafka
  • Develop back-end services and data-driven applications using SQL
  • Leverage Codex to accelerate coding, testing, and documentation
  • Design AI agents to automate SDLC activities and integrate GenAI responsibly

Skills

Java
Spring Boot
Microservices
Azure
Kafka
SQL
Codex
Claude/GenAI
AI Agents
AIDLC

Job description

Cognizant Technology Solutions Corporation is seeking a highly skilled Java Developer (GenAI) to join our team and contribute to scalable, cloud-native enterprise applications. You will leverage Java, Spring Boot, Microservices, Azure, Kafka, and SQL, with Generative AI to accelerate delivery.

In this role you will design, develop, and maintain enterprise-grade Java applications and microservices, integrating AI capabilities, collaborating with architects and product owners, and delivering

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