Jobs at Quantiphi

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 and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

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.

Leads platform engineering architecture for scalable, secure, highly available AWS solutions. Designs pipeline infrastructure and integrations across RPA processes, ERP and third-party applications, internal services, and downstream systems. Defines API, IAM governance, networking, infrastructure-as-code, CI/CD, DevSecOps, monitoring, observability, disaster recovery, and integration architectures. Provides technical leadership, stakeholder management, documentation, architecture reviews, mentoring, and engineering best practices in a remote Canadian environment.

Design and optimize enterprise data architectures, pipelines, and application workloads using SQL, Spark/PySpark, Python, Apache Iceberg, AWS, ClickHouse, and Aurora PostgreSQL. Build integrations with data virtualization and governance tools, support greenfield projects, optimize databases and Spark jobs, and collaborate on cloud, infrastructure-as-code, and CI/CD initiatives. Experience serving financial services and insurance customers is valuable, while telecommunications knowledge is preferred.

Design and develop advanced machine learning and generative AI solutions, including LLM fine-tuning, RAG architectures, prompt engineering, model evaluation, and MLOps. Architect scalable training, deployment, and retraining workflows on AWS using SageMaker and related services. Collaborate with engineering, QA, project management, and other stakeholders to deliver reliable AI applications and solve complex business problems.

Lead end-to-end predictive analytics and machine learning initiatives, including forecasting, churn prediction, and risk modeling. Translate business needs into scalable ML solutions, build and deploy models on AWS SageMaker, develop production ML pipelines, and oversee monitoring, governance, explainability, and retraining. Collaborate with engineering and MLOps teams, communicate insights to stakeholders, and mentor junior data scientists while providing hands-on technical leadership.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Leads delivery of medium- and large-scale AWS digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches, recruits, and develops staff. Requires strong program management, client service, agile delivery, business analysis, communication, and team leadership experience.

Lead the architectural vision for cloud-based platform solutions, including scalable AWS infrastructure, integration flows, APIs, IAM governance, networking, observability, and CI/CD pipelines. Design secure, highly available platforms connecting RPA processes, enterprise applications, internal services, and downstream systems. Provide technical leadership, stakeholder management, architecture documentation, mentoring, and engineering best practices while supporting enterprise DevOps, platform engineering, and integration initiatives.

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.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

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.

Design, build, test, and deploy scalable full-stack web applications using Java/Spring and modern JavaScript. Develop backend services/APIs, optimize database queries, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.