Solutions Architect
Toronto, ONRAVL
Candidates need experience designing enterprise or large-scale cloud solutions and hands-on knowledge of AWS, Azure or GCP. They also need familiarity with microservices, APIs, messaging, security design, and the ability to explain architecture clearly to technical and non-technical people.
AWS, Azure, GCP, Kafka, SQS, Service Bus
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 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
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