Principal Platform Engineer, Machine Learning
Toronto, ONRAVL
RAVL needs candidates with deep experience building ML or data platforms at scale, strong Azure and Databricks skills, MLOps tooling experience and strong backend engineering in Python, Scala or Java. Experience with distributed systems and enterprise integrations such as identity, security and observability is also required.
Azure Databricks, MLflow, Kubernetes
Principal Platform Engineer, AI
Toronto, ONRAVL
Candidates need strong distributed systems and platform engineering experience, hands-on work with LLMs and GenAI, and deep Azure and cloud-native knowledge. They also need Kubernetes experience and strong backend skills in Python, TypeScript or Go.
Kubernetes, Azure, LangGraph
Principal Data Engineer
Toronto, ONRAVL
Candidates need advanced Python and SQL, plus Scala or Java, and hands-on Databricks, Apache Spark, and Delta Lake experience. They also need deep cloud platform expertise in AWS, Azure, or GCP, Terraform and CI/CD skills, and knowledge of IAM, encryption, and responsible AI.
Databricks, Apache Spark, Delta Lake, MLflow, PyTorch, TensorFlow
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