Top Tech Jobs & Startup Jobs in Toronto

The Principal Data Engineer at RAVL will design and implement enterprise-grade data and AI platforms, mentor engineers, and influence architectural standards across teams.

Lead development, testing, and maintenance of disaster recovery and business continuity plans. Conduct BIAs and risk assessments, define RTOs/RPOs, coordinate DR tests and remediation, implement backup and recovery solutions across on-prem, cloud, and hybrid environments, support incident recovery, ensure compliance, and train stakeholders to improve organizational resilience.

As a Solutions Architect at RAVL, you'll design secure, scalable systems, contribute to API and infrastructure design, engage with clients, and guide multi-team solution delivery.

As a Technical Lead, you'll guide teams in delivering software and data engineering projects, mentor engineers, and ensure technical excellence in solutions while collaborating with stakeholders.

The Data Engineer will design and manage data pipelines and architectures, ensuring data quality and security while collaborating with cross-functional teams for effective analytics and reporting.

As a Platform Engineer at RAVL, you will design and deliver cloud platforms, automate environments, implement CI/CD, and collaborate with teams to enhance developer experience.

Manage full-cycle accounting: bookkeeping, journal entries, reconciliations, AP/AR, invoicing, collections, bank reconciliations, month/quarter/year-end close, HST/GST and payroll reconciliations, audit support, and improve accounting policies, controls, and reporting.

Design, develop, and maintain Python-based automation and full-stack solutions to improve operational efficiency, automate security and infrastructure workflows, integrate with REST APIs, support CI/CD, and enhance SRE and security controls while collaborating with stakeholders.

Design, build, and operate secure, scalable AI platform capabilities (IaC, Kubernetes, CI/CD, observability, IAM) to enable enterprise AI delivery. Create reusable services (model/API gateways, inference routing, vector/retrieval), enforce governance and SLOs, optimize cost/performance, and mentor engineers while partnering with security and architecture stakeholders.

Design and build secure, automated developer platforms and CI/CD pipelines for regulated enterprises. Implement software supply chain security, policy-as-code, governance automation, deployment strategies, observability, and reusable platform templates. Lead architecture, mentor engineers, and collaborate with security, risk, and operations stakeholders to enable compliant AI-assisted development.