Software Engineer
Toronto, ONRAVL
Candidates need strong skills in one or more modern languages such as Java, C#, Go, Python or TypeScript, plus experience with APIs and cloud platforms. Consulting-style communication and a collaborative, delivery-first mindset are also expected.
Spring Boot, .NET Core, Express, Fastify, gRPC, Docker
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
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 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