About Limina
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.
What You'll Do
You will be a part of a team that designs, builds, and maintains customer deployment tooling. Our core machine learning product requires highly performant and stable infrastructure and our customers require that infrastructure to be composable, secure, scalable, and monitored. Additionally you will help to keep Limina critical infrastructure available, such as license verification and metering services.
Areas of Focus
- 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 You Bring
- 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
- Terraform, Ansible, Cloudformation, etc
- Python, Typescript, etc
- AWS, Azure, GCP, etc
- Strong communicator, both written and verbal
Nice to Have
- Experience in fintech, compliance, or regulated-industry customer environments
- Prior experience in a customer-facing role
- Early-stage startup experience
Skills Required
- 3–5 years of engineering experience building products, infrastructure, and automation
- Experience focused on security, reliability, scalability, and maintainability
- Operational experience with Kubernetes, Helm, or Docker
- Operational experience with Terraform, Ansible, or CloudFormation
- Operational experience with Python or TypeScript
- Operational experience with AWS, Azure, or GCP
- Strong written and verbal communication skills
- Experience in fintech, compliance, or regulated-industry customer environments
- Prior customer-facing experience
- Early-stage startup experience
What We Do
Private AI provides cutting edge technology that are the best in the world at finding, redacting, and generating synthetic PII within semi- and unstructured datasets. We support 52+ languages across 50+ different entity types, and deploy within our partners' existing infrastructure so that their data never leaves their environment and is never shared with us. Ever. If you'd like to see for yourself, we encourage you to play around with our web demo here: http://demo.private-ai.com/ And for a full list of the entities we currently support, please visit: https://docs.private-ai.com/entities/
