Join our Site Reliability team to design, deploy, and manage applications and infrastructure that supports Akamai's internal and customer-facing cloud storage platforms, focusing on building and managing scalable storage platforms like Block Storage and Object Storage.
Compensation
The base salary for this position ranges from 82,100 - 147,900 CAD/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).
Responsibilities
Deploying storage systems to new locations and provisioning all storage-supporting infrastructure
Automating repetitive tasks with Bash and Python, increasing the reliability of our storage platforms
Partnering with multiple engineering teams to support infrastructure projects, improving the scalability of our storage platforms
Collaborating with our support, operations, and engineering teams to investigate and troubleshoot complex storage problems within our compute and networking stacks
Improving our storage system monitoring and observability, enhancing performance and reliability
Requirements
Bachelor's degree in Computer Science or its equivalent
Develop and integrate audio generation and processing features within Ford's SYNC infotainment system.
Compensation
The expected annual salary range for this Ford of Canada position is $89,000.00 - $139,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.
Responsibilities
Design, implement, and integrate feature applications and software components to manage and abstract DSP subsystem and audio processing functions in automotive infotainment systems.
Work with teams at Ford and technology partners to define control APIs and integration points between application processor software and DSP subsystems.
Contribute to code reviews, design discussions, documentation, and engineering best practices to deliver a best-in-class infotainment system.
Perform or collaborate on complex root cause analysis for critical software defects and system stability issues.
Support end-to-end audio quality improvements by working with partner teams, test teams, and automation stakeholders.
Requirements
Bachelor’s degree in Software Engineering, Electrical Engineering, Computer Science, or equivalent
Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent
This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Senior Data Analyst to bridge the gap between deployed AI models and high-impact digital marketing, architecting the observability of the personalization engine.
Compensation
The base pay range for this position is $140,000-$175,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits.
Responsibilities
Deploy robust, commercial-grade tracking and monitoring products that redefine client expectations regarding AI transparency.
Seamlessly integrate breakthrough analytical insights into our core AI models suite to continuously evaluate real-world performance.
Engineer high-performance, scalable data pipelines in GCP and BigQuery that maintain impeccable reliability under pressure.
Elevate our ML Platform with industry-leading standards for performance monitoring, automated alerting, and A/B testing.
Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights through Tableau visualizations.
Requirements
Master’s degree or higher in Computer Science, Mathematics, Engineering, or related technical field
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
Compensation
In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.
Responsibilities
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Designs and maintains continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams.
Compensation
MongoDB’s base salary range for this role in Canada is: $144,000—$200,000 CAD
Responsibilities
Design and maintain continuous delivery infrastructure
Ensure reliable code deployment from development through production
Provide tooling for clear system ownership and self-service onboarding
Contribute to open-source projects and engineering software-based approaches like Kubernetes operators
Own the onboarding flow for new product or service launches
As the Staff Data Scientist for AV, you will be the science leader for one of the most strategic bets at the company, setting the vision for how to measure, optimize, and grow autonomous rides on Lyft.
Compensation
The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Set the multi-year science vision and roadmap for AV at Lyft, and align engineering, product and partnership leaders around it
Define the metrics framework for AV success, including incrementality, service quality and rider experience, and drive it into partner reviews and executive reporting
Design and lead experiments and causal analyses on AV products, from rider onboarding to matching to post-ride experience
Partner with central marketplace science teams to shape matching, pricing and supply models that work for a hybrid network
Build the market sizing and business cases that guide where Lyft launches AVs next
Requirements
Master's or PhD in Economics, Statistics, Operations Research, Applied Math, Computer Science or a related field
Site Reliability Engineer IINewAkamai · Canada
Risk Data ScientistNewManulife · Waterloo, Canada
Senior Data AnalystNewMovable Ink · Remote, Canada
Staff AI EngineerNewGrafana Labs · Remote, Canada
Senior Software Engineer, DeploymentsNewMongoDB · Toronto, Canada
Senior Data Scientist, Autonomous VehiclesNewLyft · Toronto, Canada
Senior Software Engineer, Backend (ML Training and Serving)NewAffirm · Remote, Canada