Location: Remote across Canada and USA - (Headquarters in Montreal)
Type: Full-time or Part-time
 

About Cognitai

Innovating Responsibly for Mental Healthcare.

Cognitai is a Clinical Decision Support Platform currently in its pilot stage, empowering psychologists and therapists for enhanced continuous, precise, and personalized care in real-world practice.
We’re moving fast from pilot toward a secure, scalable solution in clinical and research settings, with a clear proof of traction.

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​The role

This position begins by taking ownership of the pilot product as the foundation for building our production-ready solution, ensuring a seamless transition to a scalable product, guided by a detailed technical blueprint and statement of work.
You’ll serve as our technical lead, accountable for technical architecture, deployment, and delivery. You’ll work hands-on while shaping the platform and early team, ensuring we meet defined milestones within an already well-scoped and validated plan.

 

Why join Cognitai

• Shape the future of care: play a key role in bringing continuous, precise, personalized mental healthcare to real-world practice.
   

• Standout credibility: build in a regulated healthcare domain (HIPAA/PIPEDA) - experience that meaningfully elevates your resume.
   

• Invest in your future: meaningful compensation investing in your future, with a clear path to leadership as we scale from pilot to standard of care.

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What you’ll do​

• Ship the production foundation: execute the established architecture and roadmap (security, reliability, data governance).

• APIs & ingestion: deliver secure APIs, mobile/wearable data ingestion, and an AI gateway with de-identification/pseudonymization patterns.

• Cloud deployment and hardening (GCP preferred): identity/role design, secrets, encryption/KMS, logging, monitoring, backup & restore, cost controls.

• Operational excellence: CI/CD (e.g., GitHub Actions), IaC (e.g., Terraform), coding standards, testing strategy, runbooks/SLAs/SLOs, incident response.

• Data & analytics: build/operate time-series pipelines and meaningful analytics/observability.

• Compliance-by-design: uphold Canadian data residency and HIPAA/PIPEDA-aligned controls with evidence capture.

• Cross-functional collaboration: deliver defined milestones in partnership with founders, product and clinical teams.

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What you’ve done (requirements)

• Shipped cloud-native products end-to-end; 2+ years in a role accountable for delivery.

• Strong GCP (or similar) experience: containerized services, managed DB/storage, eventing/queues.

• Proficient in TypeScript/Node.js or Python for APIs/workers; containerization; structured logging/metrics.

• Security & privacy: IAM/RBAC, least-privilege, KMS/CMEK, secrets management, encryption in transit/at rest.

• Data pipelines & integrations: event-driven or batch flows; exposure to Apple HealthKit/Google Health Connect/Fitbit is a plus.

• AI integration: practical understanding of safe patterns for de-identification and external AI calls.

• CI/CD (e.g., GitHub Actions) and Infrastructure as Code (e.g., Terraform) for creation and deployment.

• Clear, concise communicator who makes pragmatic trade-offs and delivers within defined scope.

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How you work (soft skills we value)

• Delivery ownership: you negotiate scope, make trade-offs explicit, and ship.

• Collaborative planning: you co-create estimates/timelines with non-technical team and founders - no surprise slips.

• Crisp communication: plain language, short updates, early risk calls; you invite challenge without defensiveness.

• MVP and scope control: you default to the smallest valuable version and resist gold-plating.

• Adaptable under change: you can redirect or rebuild when the “why” is sound, without losing momentum.

• Documentation hygiene: light but consistent READMEs, diagrams, and access/secrets hygiene so others can step in.

• Bus-factor mindset: you share knowledge and access by default and reduce single-point-of-failure risk.

• Respectful conflict navigation: you handle disagreement with curiosity, data, and shared problem-solving.
   

Nice to have

• Familiarity with FHIR data modeling or healthcare interoperability standards.

• Experience scaling observability and SLO-driven operations.

• Exposure to SOC 2/HIPAA/PIPEDA processes and audit readiness.

• Experience with media/TTS processing or secure asset delivery.
   

What success looks like (stage one)

At stage one, success means completing the pilot’s defined technical objectives and demonstrating a stable, validated and scalable solution consistent with the SOW and technical blueprint.

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• Secure, region-locked cloud environment with CI/CD and monitoring in place.

• Mobile/wearable ingestion and core APIs live for test cohorts.

• AI gateway with de-ID/pseudonymization patterns implemented and validated.

• Baseline SLOs, alerting, backup and restore rehearsal completed with documentation.

• Hiring plan and first key engineering hire(s) identified.
   

How we hire

1. Intro call (30 min): role, mission, your goals.

2. Technical deep-dive (60 min): architecture & security scenarios (no live coding).

3. Product/clinical collaboration (45 min): work through a real-world trade-off.

4. Founder conversation & references.

5. Mini Task (Potential 2 hours max) Async pilot SOW exercise: mini-plan, risks, and a simple diagram/README to see how you communicate and structure work.​