Top Python Jobs in Toronto

Build and operate secure, scalable cloud infrastructure; manage Terraform infrastructure as code, CI/CD pipelines, monitoring, alerting, automation, and security controls. The role requires AWS or other cloud expertise, container orchestration, programming ability, networking knowledge, and participation in daytime on-call rotations.

Investigate and resolve complex customer issues across devices, vehicle systems, networks, APIs, integrations, firmware, cloud platforms, and data. Use logs, dashboards, queries, scripts, and AI-assisted tools to identify root causes, communicate clearly with customers, escalate evidence-based findings, and prevent recurrence through runbooks, knowledge articles, diagnostic assets, and systemic fixes.

Designs, develops, tests, and maintains data integrations connecting customer cloud and on-premises systems to the Prophix platform. Builds reusable APIs and real-time interfaces, contributes to integration architecture and strategy, automates reliable data processes, and supports stakeholders and engineers. The role also involves project management, technical leadership, mentoring, enforcing integration standards, and helping customers transition to secure, scalable cloud-based data environments.

Designs, builds, and operates secure, scalable cloud-native infrastructure for AI and generative AI workloads. Responsibilities include GPU and Kubernetes platforms, model serving, RAG infrastructure, APIs, microservices, networking, observability, CI/CD, infrastructure as code, security, compliance, and FinOps. The role defines AI cloud architecture and platform standards, leads solution design, operates systems using SRE practices, and mentors engineers. It requires extensive Azure or AWS experience, distributed cloud infrastructure expertise, and hands-on AI/ML platform engineering.

Conduct research on the cellular and molecular mechanisms of radiation-induced fibrosis. Analyze biological datasets using bioinformatics and statistical methods, develop hypotheses, and validate findings through cell and molecular biology experiments. Maintain cell cultures, perform assays, evaluate anti-fibrotic compounds, document reproducible workflows, prepare manuscripts and presentations, and contribute to grants. Collaborate with researchers, mentor trainees, and follow laboratory safety and research ethics requirements.

Leads the technical strategy, architecture, and execution of enterprise AdTech platforms across front-end applications, data pipelines, ad integrations, analytics, and cloud infrastructure. Manages multiple engineering teams, oversees vendor partnerships, guides product and platform lifecycles, optimizes cloud costs, ensures privacy and data governance compliance, and integrates machine learning capabilities. Translates commercial objectives into scalable technical roadmaps while advising executives on AdTech trends, architecture, technical debt, and platform reliability.

Leads complex quantitative research and advisory engagements, translating client business challenges into hypotheses, rigorous methodologies, advanced analyses, and strategic recommendations. Serves as a senior client advisor, presents executive-level findings, supports business development, builds thought leadership, and manages and mentors research teams. Applies techniques including segmentation, modeling, forecasting, and statistical analysis across public affairs and online community research.

Senior groundwater modeler responsible for hydrogeological projects supporting mining clients in Canada and internationally. Develops groundwater flow and contaminant transport models, interprets groundwater data, creates 3D hydrogeological conceptual models, mentors colleagues, supports business development, and provides client service. Requires advanced hydrogeology education, professional registration, extensive numerical modeling experience, programming skills, and willingness to travel to domestic and international project sites.

Develop and maintain complex web applications, writing, reviewing, optimizing, debugging, and testing code. Collaborate with engineers, developers, designers, QA analysts, and clients across innovative web and mobile projects. Review architecture and code for alignment with company standards and industry best practices. Mentor less experienced team members, promote knowledge sharing, and adapt to evolving project requirements under tight deadlines.

The FP&A Analyst supports commercial financial planning, forecasting, budgeting, variance analysis, and monthly performance reporting. The role provides data-driven insights and recommendations to leadership, owns net revenue forecasting for commercial teams, identifies risks and opportunities, and supports revenue and operational improvement initiatives. Responsibilities also include stakeholder collaboration, executive reporting, cross-functional projects, and maintaining accurate analysis using Excel, Looker, SQL, Python, Confluence, and Salesforce.

Designs and implements Okta Customer Identity Cloud solutions for enterprise customers. Leads requirements gathering, discovery workshops, architecture design, technical specifications, project planning, and delivery oversight. Advises customers and executives on IAM, cloud, security, authentication, authorization, and application integration strategies. Supports customer health checks and project reviews while translating business needs into secure, scalable identity solutions.

Designs, builds, deploys, and supports production-grade AI applications for business stakeholders. Responsibilities include identifying AI opportunities, developing agents, Copilot solutions, automation workflows, and RAG systems; integrating enterprise data and applications; managing delivery through production; monitoring adoption and performance; and ensuring security, privacy, compliance, and responsible AI governance. The role also develops reusable engineering frameworks and advises leaders on AI strategy and implementation.

Leads AGF’s AI platform engineering strategy, architecture, governance, and operations. Owns platforms including Azure AI Foundry, Databricks, Copilot Studio, and Claude; establishes reference architectures, CI/CD, infrastructure as code, observability, security, cost controls, data governance, and lifecycle management. Builds shared components and developer tooling, guides AI engineers, evaluates emerging platforms, partners with risk and compliance teams, and develops a platform engineering team to deliver secure, production-grade AI capabilities.

Build and own production data pipelines, dbt models, semantic layers, and supporting infrastructure across Snowflake, BigQuery, Airflow, Fivetran, Databricks, AWS, and GCP. Partner with stakeholders across business functions to scope requirements, resolve data quality issues, monitor SLAs, support incident response, and apply data governance practices. The role requires autonomous delivery, strong communication, production-grade Python and SQL, and contributions to engineering standards, CI/CD, testing, and documentation.

Design and lead cloud and hybrid infrastructure solutions across Azure and on-prem environments. Create roadmaps, architecture standards, solution designs, and whitepapers. Guide implementation with IaC, automation, containerization, CI/CD, and governance while coaching teams and collaborating with stakeholders to ensure secure, scalable, and operable platforms.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Design and operate large-scale data and ML platforms supporting audience data, feature stores, training pipelines, model serving, monitoring, and LLM-powered workflows. Own end-to-end data pipelines, reliability, SLAs, observability, and business impact. Apply distributed systems principles, production ML practices, and agentic technologies while collaborating across product and engineering teams in a fully remote environment.

Owns the technical path from customer use cases to reliable robot deployments. Responsibilities include assessing automation feasibility, defining requirements and success metrics, designing integrations across robotics hardware, software, tooling, and customer systems, configuring and debugging systems onsite, and improving deployment tools and playbooks. The role partners with research and engineering teams to resolve field failures and requires customer communication, hands-on troubleshooting, and travel to deployment sites.

Designs, operates, and improves AWS and Azure cloud infrastructure supporting customer-facing higher education products. Owns Kubernetes platforms, infrastructure as code, deployment automation, CI/CD, monitoring, security, reliability, disaster recovery, and cost optimization. Troubleshoots complex infrastructure and application issues, leads incidents, participates in on-call rotations, mentors engineers, contributes to technical standards, and partners across Development and Information Security on modernization and production readiness.

Provides staff-level technical leadership for authentication, authorization, account lifecycle, and partner relationship systems. Designs APIs, data models, distributed services, migration strategies, and event-driven architectures. Leads cross-team initiatives, improves testing, observability, deployment safety, and reliability, and mentors engineers. The role requires strong backend and distributed-systems expertise, security-sensitive problem solving, AI-assisted engineering fluency, and experience with production operations.

Own web compatibility triage and incident response across DuckDuckGo browsers on Mac, Windows, iOS, and Android. Debug complex web applications and third-party code, distinguish site, browser, and privacy-related issues, reverse-engineer obfuscated code, build durable cross-platform fixes, and develop automation and LLM agent tooling to reproduce and triage breakage. Lead ambiguous projects independently and communicate with technical and non-technical stakeholders.

Lead end-to-end deployment of Tines’ workflow automation platform for public sector and federal customers. Integrate systems, configure workflows, troubleshoot production issues, train stakeholders, drive adoption, identify new use cases, and serve as the primary technical advisor. Build executive and user relationships, communicate customer insights to internal teams, and travel 20–40% to customer sites.

Own GitHub administration and developer operations across multiple organizations, 900+ repositories, and 300+ developers. Establish security and operational baselines, automate configuration and compliance, manage integrations and access controls, and guide organization-wide adoption. Extend the model to Jira, Datadog, JFrog, and other SDLC tools while partnering with security and engineering teams. This remote-first role requires autonomy, consultative influence, change management, and responsible use of AI coding tools.

Lead the development, validation, and maintenance of clinical data programming solutions for EDC/CDMS systems, vendor data, analytics, reports, integrations, and data transfers. Provide technical leadership across studies, serve as a programming subject matter expert, mentor programmers, support study teams, and drive automation and process improvements. Collaborate with data managers, biostatisticians, and project managers to ensure high-quality clinical trial data management solutions.

Conduct applied AI/ML research focused on time-series forecasting and generative AI for supply chain planning. Review literature, formulate hypotheses, design reproducible experiments, develop and evaluate models, analyze results, and communicate findings. Build research prototypes and collaborate with researchers, engineers, data scientists, and domain experts to assess product potential. Contribute to technical reports, demonstrations, publications, and patents under mentorship.