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About the Role
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.
Responsibilities
- 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
Requirements
- 3 - 5 years of engineering experience building products, infrastructure, and automation
- Experience building with a focus on security, reliability, scalability, and maintainability
- Strong communicator, both written and verbal
Skills
- Kubernetes
- Helm
- Docker
- Terraform
- Ansible
- Cloudformation
- Python
- Typescript
- AWS
- Azure
- GCP
Experience Level
- 3-5 years
About the Company
- 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.