Teams at Pragmatike

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

Build and maintain high-throughput backend services in native PHP (7/8). Design and optimize transaction-heavy billing workflows, REST/SOAP APIs, relational schemas, async processing (RabbitMQ/Kafka), caching (Redis/Memcached), and integrations with external payment/carrier systems. Ensure security, observability, CI/CD, and collaborate with product, ops and QA to run and improve production services.

Design, build and maintain high-throughput backend services in native PHP (7/8). Implement transactional billing workflows, REST/SOAP integrations, database schema and query tuning, async processing with queues and cache, ensure security and observability, and contribute to CI/CD and production operations.