Build and operate scalable MLOps infrastructure for machine learning development, training, inference, and monitoring. Responsibilities include Kubernetes orchestration, AWS resource management, GPU optimization, prediction and inference platforms, ML workflows, CI/CD pipelines, observability, security compliance, and LLM serving clusters. The role collaborates with ML engineers and supports reliable, high-performance AI services and production operations.

Build and maintain reliable, scalable, API-first banking microservices using Kotlin or Java, Spring Boot, SQL, Kafka, and cloud technologies. Collaborate with product owners, master banking domains, write automated tests, deploy code, and support the full software development lifecycle. The role emphasizes secure, high-quality engineering, CI/CD, DevOps/DevSecOps, incident resolution, automation, scalability, and autonomous problem-solving within a digital banking startup.