Technical Lead
Toronto, ONRAVL
Candidates need experience leading technical teams in software, platform or data engineering, plus hands-on skill with a major cloud platform, CI/CD and modern development. They must be able to mentor engineers and communicate clearly with stakeholders.
AWS, Azure, GCP, Docker, Kubernetes, Terraform
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
Senior Platform Engineer, AI
Toronto, ONRAVL
Candidates need strong distributed systems and platform engineering experience, hands-on work with LLMs and GenAI systems, and deep knowledge of Azure and cloud-native architecture. Kubernetes, container orchestration and strong backend skills in Python, TypeScript or Go are also required.
Azure, Kubernetes, Python, TypeScript, Go, LangGraph
Senior Business Systems Analyst
Toronto, ONRAVL
5+ YOECandidates need 5+ years as a Business Analyst or Business Systems Analyst in technology delivery, a strong technical background, and experience with Agile delivery, APIs, integrations and data flows. Strong communication and client-facing skills are required.
Jira, Confluence, Azure DevOps
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
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
Apprentice, Engineering
Toronto, ONRAVL
Candidates need formal technology education or prior technology experience, and must be comfortable writing and reviewing code in at least one language. Strong analytical skills, ownership of their work and an empathetic approach are also expected.
Process improvement, Analytical skills, Regulatory compliance
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