Top Python Jobs in Toronto

Hands-on senior data developer responsible for designing, building, and optimizing Hadoop-based and real-time streaming data pipelines (Kafka, Spark). Integrate AI/ML models and MLOps into production, ensure performance, security, and governance for banking data, mentor teammates, and deliver end-to-end data initiatives within small agile squads.

Define and drive the architectural vision for Okta's UI platform. Build and maintain shared libraries, reusable components, and internationalization/localization infrastructure. Lead cross-team alignment, review high-impact designs, mentor senior engineers, and implement the platform's most complex, foundational components.

Provide actuarial analysis and pricing for commercial large accounts (>$2M), perform indication and portfolio reviews, quantify credit risk for large retentions, communicate results to stakeholders, implement automation/process improvements, and coach junior analysts.

Maintain and scale cloud and container infrastructure, build automation for deployments, monitoring, recovery, and scaling, and support migration of legacy apps to container platforms. Troubleshoot performance and deployment issues, partner with cross-functional teams to improve reliability, security, and operational efficiency, and apply best practices in observability and automation.

As a Senior Software Engineer, you will design, implement, and maintain backend systems that integrate identity and authorization capabilities into AI workflows, ensuring security and reliability at scale.

Lead design and implementation of Okta identity platforms for customers: gather requirements, run discovery workshops, create designs and project plans, provide technical leadership, integrate cloud and on‑prem systems, perform health checks, and support customer success and delivery.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.

Design, deploy, and operate production-grade AKS clusters, owning cluster architecture, networking, security hardening, observability, CI/CD, and incident response. Integrate AKS with Azure services, manage deployments with Docker/Helm and GitOps, run Terraform IaC, define SLIs/SLOs, perform vulnerability management and DR planning, and provide on-call escalation and runbook documentation.

The Senior Manager, Cloud Development leads strategic planning and hands-on development of cloud-based solutions using GCP, focusing on AI/ML integration and system reliability.

Drive data-informed product decisions through experimentation, cohort and funnel analyses, metric definition, and telemetry modeling. Partner with Product, UX, and Engineering to improve engagement, retention, and customer experience; translate analyses into actionable roadmap recommendations and mentor analytics practices.

Serve as the technical lead for enterprise customers, managing integrations end-to-end, tracking SLA performance, diagnosing API/webhook issues, escalating to engineering, querying data with SQL and scripting, and identifying expansion opportunities to support revenue targets.

Lead daily operations and enhancements for CCR capital calculations, ensuring regulatory compliance (SA-CCR, Basel III, OSFI). Manage capital metric production, validate tools, perform driver analysis, develop quantitative pricing and risk models, conduct scenario-based research, document data flows, and liaise with stakeholders to mitigate risk and improve methodologies.

Frontend-focused full-stack developer responsible for implementing React components and state, integrating with Go services and Python data pipelines, participating in design and code reviews, leveraging AI tools to accelerate development and tests, following TDD and security-driven practices, and contributing to system architecture and maintenance.

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Build and scale developer infrastructure: manage monorepo builds with Bazel, operate remote build execution clusters, scale CI pipelines, manage GitHub configurations and tests, and provide remote development environments to improve onboarding and developer productivity.

Lead verification strategy and execution for complex digital and mixed-signal designs. Architect UVM/SystemVerilog environments, develop advanced test benches, define coverage metrics, lead debug and post-silicon validation, mentor junior engineers, and drive methodology improvements while collaborating with design teams and customers.

Join Hive to build and improve a marketing platform, focus on developing and shipping software, optimize system performance, and collaborate with teams.

Design, build, and operate backend systems and infrastructure. Work on system design, databases (SQL/NoSQL), cloud platforms, containerization, IaC, CI/CD, monitoring/logging, networking, security, and Linux fundamentals in a fast-paced startup environment.

Build end-to-end features across frontend and backend for the Mem0 platform using Next.js and Python. Design APIs, UIs, backend services, and data models; optimize performance and reliability; write tests and operate production systems; collaborate with design, research, and customers to deliver scalable AI memory product experiences.

Embed with strategic customers to integrate Mem0 memory APIs into AI agents, prototype and productionize custom solutions, own technical relationships, troubleshoot production issues, build reusable tooling and reference implementations, and translate field learnings into product and research roadmap input.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Lead technical vision and architecture for the Mojo compiler backend: IR lowering, optimization passes, and code generation across CPUs, GPUs, and AI accelerators. Drive MLIR/LLVM initiatives, expand debugging and profiling tooling (LLDB/GDB, LSP, profilers), mentor engineers, collaborate with cross-functional teams, and engage with the open-source community to shape developer tooling and compiler strategy.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Lead fullstack technical work connecting Python/Django backend services with Unity (C#) client, drive technical roadmap, own live-ops reliability and incident management, mentor cross-functional teams, deliver scalable features, and reduce technical debt for a live-service mobile/PC game.

Design, build, and deploy AI agents and automations to streamline pre-sales processes (discovery, demos, RFPs, POCs). Integrate AI tools with CRM and knowledge systems, prototype quickly, train and support solutions engineers, monitor automation performance, and document scalable workflows to improve adoption and impact.