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Tier-1 brand, metro location, and generalist backend senior title drive high applicant competition.
AI-first backend platform expectations favor product/cloud backgrounds, moderately reducing cross-industry transferability.
Mandatory Java plus specialized stack (Kafka, Elasticsearch, Terraform, Kubernetes) enforces strict technical gating.
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Build and ship high-quality, production-grade software integrating AI as a core part of the development workflow, focusing on secure, optimized, and maintainable code.
Design and orchestrate complex systems where AI agents integrate into human workflows to drive efficiency and innovation at scale.
Contribute to building and maintaining a shared system context repository of system designs, constraints, and standards enabling reliable AI operation; critically evaluate code quality, security, and performance.
Proven AI-first engineering approach and experience using AI development tools like Claude Code, GitHub Copilot, Codex, or similar.
Advanced prompt engineering skills to write precise structured prompts and manage system context for production-ready AI outputs.
Hands-on experience with Java is mandatory.
Experience with Streaming technologies like Kafka, plus familiarity with Elastic Search, Terraform, Kubernetes, and Docker preferred (not explicitly mandatory). Work Experience Required: Not explicitly mentioned in the JD. Notice Period: Not explicitly mentioned in the JD.
Experienced software engineer comfortable working with AI integration across the stack to enhance development velocity and code quality.
Skilled in designing and managing complex, scalable systems blending AI agents with human workflows in a high-paced, multinational organization.
Proven ability to maintain high standards of quality, security, and performance in production software including code review and system context documentation for AI-driven environments.