Platform Engineer

Private AI • Toronto, ON

4d

About The Position

Limina is the contextual data intelligence platform built for the AI era. Evolved from Private AI, the world's most accurate PII and PHI de-identification engine, Limina has expanded into a full platform play that governs sensitive data across the entire enterprise AI lifecycle: from classification and redaction through to agentic workflows, RAG pipelines, and real-time data security. Brands like RBC, Deepgram, and Boehringer Ingelheim already rely on our platform to build on, govern, and deploy AI against their most sensitive datasets. We've been recognized as a Gartner® Cool Vendor™ in Privacy and a World Economic Forum Technology Pioneer, and we’re backed by investors in Toronto, New York, Seattle, and San Francisco.

Requirements

• 3 - 5 years of engineering experience building products, infrastructure, and automation
• Experience building with a focus on security, reliability, scalability, and maintainability
• Operational experience with one or more: Kubernetes, Helm, Docker, etc
• Operational experience with one or more: Terraform, Ansible, Cloudformation, etc
• Operational experience with one or more: Python, Typescript, etc
• Operational experience with one or more: AWS, Azure, GCP, etc
• Strong communicator, both written and verbal

Nice To Haves

• Experience in fintech, compliance, or regulated-industry customer environments
• Prior experience in a customer-facing role
• Early-stage startup experience

Responsibilities

• Designing, building, and maintaining customer deployment tooling.
• Ensuring the core machine learning product has highly performant and stable infrastructure.
• Ensuring customer infrastructure is composable, secure, scalable, and monitored.
• Keeping Limina critical infrastructure available, such as license verification and metering services.
• Building and maintaining a collection of helm charts, kubernetes artifacts, and associated training materials.
• Working closely with Solutions Engineering, turning customer-focused prototypes and tools into production-grade products.
• Building and maintaining critical services and infrastructure.
• Maintain platform marketplaces for SaaS vendors such as AWS, Azure, and Snowflake.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed