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AI-Native Java Backend Engineer

Zycus

Direct Career PageEst. 12–20 LPA

Posted 22h ago

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Protocol Intelligence

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Competition Intensity

(High)

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(Low)

Shortlisting Strictness

(High)

Job Description

Structured overview of role & requirements

About This Role

Design, develop, and deploy scalable, secure Java-based backend systems leveraging Core Java, Spring Framework, Spring Boot, and Microservices architecture.

Integrate AI-assisted development practices using Generative AI coding tools (e.g., GitHub Copilot, Cursor AI, ChatGPT) to enhance coding productivity and quality.

Collaborate with cross-functional teams in Agile environments, focusing on REST APIs, JWT authentication, cloud deployments (AWS/Azure/GCP), and CI/CD pipelines.

Minimum Requirements

Minimum 3+ years of hands-on Java development experience.

Strong expertise with Spring Framework, Spring Boot, Microservices, Core Java, multi-threading, REST APIs, and cloud platforms (AWS, Azure, or GCP).

Experience with AI coding tools such as Cursor AI, GitHub Copilot, Groq, or ChatGPT integrated into development workflows.

Work Experience Required: 3+ years in Java backend development.

Ideal Candidate Profile

Experienced backend engineer with proven skills in building scalable microservices-based Java applications using Spring Boot and related technologies.

Practically skilled in using AI-assisted coding tools to optimize and accelerate the software development lifecycle.

Comfortable working in Agile/Scrum setups with strong collaboration across DevOps, QA, Product, and UX teams.