• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. • Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults. • Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%

Role Description We’re looking for a Staff Engineer to join our Patient Platform team and shape the systems that power patient-facing experiences across our health technology platform. This team owns the APIs, orchestration services, and communication infrastructure that enable secure, reliable interactions between patients and our platform (Email, SMS, notifications). We are at a critical stage of growth, scaling our platform, modernizing legacy services, and strengthening our event-driven architecture to support increasing patient volume and communication complexity. This role will play a central part in defining how our backend systems evolve as we scale. As a Staff Engineer , you will be the technical authority for the Patient Platform domain, translating architectural strategy into scalable, production-ready distributed systems in partnership with cross-functional teams. You will: - Lead design and modernization of our patient-facing backend services - Drive API design best practices, including BFF and orchestration patterns - Define and enforce API contracts and cross-service communication standards - Design and implement event-driven workflows using AWS EventBridge and async messaging - Improve reliability and fault tolerance of communication pipelines (email, SMS, notifications) - Ensure secure authentication and authorization is consistently implemented across APIs - Untangle tech debt and make high-leverage decisions that improve engineering velocity - Design secure, scalable systems that handle sensitive patient and identity data - Mentor engineers across the team and elevate system design standards - Collaborate cross-functionally with Product, Architecture, Security, QA, Clinical, and Frontend teams - Communicate complex technical concepts clearly to cross-functional stakeholders and leadership, influencing architectural direction and product decisions - Advocate for improvements in developer experience, testing practices, and system observability This is a fully remote role, open to candidates based in Ontario, with flexibility to collaborate across Pacific and Eastern time zones. Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! Qualifications - 10+ years of backend engineering experience, including platform or high-scale distributed systems - Strong experience in Python (FastAPI, Flask) or similar modern backend frameworks - Deep expertise designing event-driven architectures in AWS (EventBridge, SQS/SNS, Lambda, ECS) - Experience building and operating async task processing systems (e.g., Celery or similar) - Proven ability to define and govern REST and/or GraphQL APIs at scale - Strong understanding of service boundaries, microservices, and async service-to-service communication - Experience designing highly observable systems (metrics, tracing, alerting — e.g., Datadog or similar) - Experience implementing secure authentication and authorization (OAuth2, JWT, service-to-service security) - Experience working with Postgres, DynamoDB, and distributed caching systems (e.g., Redis) - Familiarity with Infrastructure as Code (Terraform/CDK) and mature CI/CD practices - Experience designing systems in regulated environments handling sensitive data (HIPAA, PHI/PII) - Excellent technical communication skills and demonstrated cross-team architectural influence - Ability to operate effectively in ambiguity and drive clarity across teams Requirements - Experience building or scaling communication platforms (email delivery systems, SMS gateways, notification orchestration) - Familiarity with BFF patterns supporting React or modern frontend applications - Hands-on experience with contract testing frameworks (e.g., Pact) - Experience navigating the challenges of a startup transitioning into a scale-up - Experience with healthcare or regulated environments (HIPAA, PHI/PII) - Familiarity with security and privacy standards (e.g., HIPAA, ISO 27001, ISO 13485) Benefits - An avenue to make a positive impact on people's lives and their health - Prenuvo provides free, whole-body scans to each team member - Growth opportunities are at the heart of our people journey - Our team gets together each week to connect, share, and socialize - Flexible vacation policy to encourage time away to restore - Comprehensive benefits package including health, dental, vision, and Mental Health coverage - Access to RRSP and TFSA retirement savings plans with immediate, optional enrollment - Base salary for this role ranges from $180,000- $210,000 in local currency, depending upon experience and geographic location

Role Description Cerchiamo un AI Global Platform Engineer che sviluppi ed evolva la spina dorsale tecnica della nostra piattaforma di Conversational AI. Progetterai e manterrai i sistemi che alimentano le esperienze voicebot e chatbot dei nostri clienti enterprise worldwide. Perché questa non è una "normale" posizione di engineering? - In CAI facciamo ricerca applicata. - Testiamo approcci che in Italia non ha ancora provato nessuno. - Portiamo in produzione ciò che funziona e scartiamo il resto velocemente. - Non cerchiamo un esecutore, ma qualcuno che voglia scrivere il futuro dell'AI. Qualifications - Forte proficiency in Python e/o Node.js. - Esperienza hands-on con API di LLM e architetture RAG. - Familiarità con stack telephony (Twilio, Telnyx o simili). - Capacità di lavorare in autonomia su progetti multi-stakeholder. - Italiano e Inglese fluenti (B2+). Requirements - Esperienza con piattaforme di automazione (n8n, Make, Zapier). - Conoscenza di React per interfacce di configurazione. - Conoscenza dello Spagnolo (fondamentale per i nostri progetti in LatAm). Benefits - Compensation allineata al top del mercato, benchmarkata sui percentili più alti. - Modello di lavoro Full Remote, con workshop ed eventi periodici in presenza per mantenere il team coeso. - Impatto Reale: Lavorerai su sistemi AI già live (Voicebot, RAG, LLM orchestration), non su presentazioni PowerPoint. - Crescita Esponenziale: La curva di apprendimento è ripida. Avrai responsabilità vere dal primo giorno in un ambiente puramente meritocratico. - Network d'élite: Esposizione a partner tech top-tier e MBB consulting firm.

• Design, implement, and operate core cloud platform components • Build and maintain Kubernetes clusters and develop custom Kubernetes operators • Write production-grade Go and Python code for platform services and automation • Improve reliability, scalability, and cost efficiency of cloud infrastructure (AWS/GCP/Azure) • Strengthen observability through monitoring, logging, alerting, and metrics • Automate operational workflows and platform integrations • Collaborate closely with Platform, Regions & Clusters, and Features teams • Participate in incident response, root cause analysis, and long-term system hardening • Continuously reduce KTLO and operational overhead through engineering improvements