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Tier-1 brand, generalist full-stack title, and Bangalore metro increase competitive density.
Specialized GenAI security and LLM experience raise domain specificity though core cloud and full-stack skills transfer reasonably well.
Numerous mandatory technologies, multi-tenant SaaS and production LLM/ML experience make screening highly restrictive.
Lead design and implementation of high-performance, multi-tenant secure REST APIs and distributed systems for GenAI Security Platform.
Develop data-intensive dashboards, real-time user interfaces, and integrated AI workflows including multi-step evaluation pipelines for AI adversarial threat validation.
Deploy and manage scalable microservices and containerized applications on Kubernetes with comprehensive observability and maintain code quality through testing and mentoring.
Experience building and scaling multi-tenant SaaS platforms with strong data isolation.
Proficiency in JavaScript frameworks (React, Vue, or Svelte) with TypeScript and expertise in API design and REST principles.
Hands-on experience with AI/ML system production, LLM API integration, cloud platforms (GCP, AWS, or Azure), Kubernetes, Docker, and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD; Immigration sponsorship not offered.
Senior engineer with strong background in scalable, secure SaaS platform architecture focused on cloud and AI/ML system integration.
Experience operating in complex distributed systems environment with emphasis on high throughput, uptime, and operational resilience.
Technical leader comfortable with cross-functional collaboration, architecture decisions, and mentoring on best practices in AI security and cloud native technologies.