Top Tech Jobs & Startup Jobs in Vancouver

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.

Lead design and implementation of enterprise healthcare integration solutions, define standards, architect EMPI and interoperability (HL7v2/v3, FHIR) implementations, mentor teams, run design workshops, and ensure scalable, secure enterprise integration across large public sector initiatives.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

The Technical Program Manager will define AI project roadmaps, coordinate project delivery, lead cross-functional teams, manage stakeholder relationships, and ensure regulatory compliance in AI solutions, with a strong focus on innovation in AI and cloud technology.

Lead organizational change management for cloud migration: conduct impact analyses, develop strategic communications, design and deliver training and enablement, engage stakeholders, assess readiness, define adoption metrics, and report progress to program leadership.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.