Teams at Quantiphi

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, Slurm, Kubernetes, and OpenShift environments. Responsibilities include GPU profiling, distributed training optimization, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure automation with Terraform and Helm, and collaboration with data science, MLOps, and application teams. The role also supports client engagements and may involve healthcare interoperability technologies such as FHIR, HL7, SMART on FHIR, and Epic.

Designs and scales distributed platform services, APIs, microservices, and React applications for healthcare technology platforms. Owns architecture, reliability, performance, testing, CI/CD, observability, infrastructure, and production support. Partners with product and clinical teams, mentors engineers, leads technical decisions, and uses AI-augmented development tools. Requires extensive software engineering experience with cloud-native systems, databases, REST APIs, frontend frameworks, and scalable SaaS platforms.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.