Platform Engineer
Toronto, ONRAVL
Candidates need hands-on experience with at least one major cloud platform, infrastructure-as-code tools, CI/CD pipelines, containers and scripting. They also need a working understanding of networking, identity and security in the cloud, and clear communication skills.
Terraform, CloudFormation, Pulumi, Ansible, Docker, Kubernetes
Front End Engineer
Toronto, ONRAVL
Candidates need expert JavaScript and TypeScript skills, strong React experience, and knowledge of accessibility standards, testing tools and CI/CD pipelines. Clear communication with engineers and business stakeholders is also required.
React, Next.js, Vite, Webpack, GitHub Actions, Jest
Data Engineer
Toronto, ONRAVL
Candidates need strong experience building data pipelines with tools like Spark, Airflow or dbt, plus proficiency in SQL and Python, Java or Scala. Hands-on cloud data experience on AWS, Azure or GCP, knowledge of warehousing and lakehouse architectures, and CI/CD and governance practices are also expected.
Spark, Airflow, dbt, Kafka, Snowflake, Redshift
AI Solutions Engineer (Senior / Principal)
Toronto, ONRAVL
Candidates need hands-on Vertex AI and GKE or Cloud Run experience, plus strong DevSecOps platform skills. Senior candidates must also show they have led platform architecture and mentored engineers in regulated environments.
Vertex AI, Gemini, Agent Builder, Vector Search, GKE, Cloud Run
AI Solutions Architect (Senior and Principal)
Toronto, ONRAVL
Candidates need strong software engineering skills in Python or TypeScript, hands-on Google Cloud architecture experience, and practical work building LLM-based systems. Senior or Principal experience leading technical initiatives and working directly with clients is also required.
Google Cloud Platform, Cloud KMS, Artifact Registry, VPC Service Controls
AI Platform Engineer (Senior / Principal)
Toronto, ONRAVL
Candidates need deep GCP platform experience (GKE, IAM, Shared VPC, Terraform), Vertex AI MLOps depth, and strong Kubernetes, CI/CD and SRE practice. Senior candidates also need experience leading platform architecture and mentoring engineers, and knowledge of LLMs and secure AI services in regulated environments.
GKE, Terraform, Config Connector, Cloud Build, Cloud Deploy, Artifact Registry