Top Python Jobs in Toronto

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Lead technical pre-sales for an infrastructure automation platform: run discovery, design tailored solutions and PoCs, own technical customer relationships, qualify deals, partner with alliances, feed product with field insight, and produce technical content to grow market presence.

Design, build, and maintain full-stack features across frontend (TypeScript/React) and backend (JVM language or Python). Mentor engineers, participate in code reviews and pair-programming, deploy generative AI infrastructure, and ensure quality via unit testing and CI in an agile, remote environment.

Senior full-stack engineer responsible for designing, building, and owning end-to-end features across frontend (TypeScript/React) and backend (JVM languages or Python). Mentor junior engineers, drive best practices (unit testing, CI), deploy generative AI infrastructure, work with databases and cloud/distributed systems, collaborate in cross-functional teams, and contribute to product excellence in a remote, agile environment.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.

Design and build a test automation framework from scratch; write and maintain API, integration, and end-to-end UI tests; integrate suites into CI/CD; reduce flakiness; apply and evaluate AI-assisted testing tools; mentor engineers and raise automation quality across squads.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Develop perceptual features for MR/AR experiences, establish image quality metrics, and research algorithms for light estimation and virtual object rendering.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead development of agentic AI features and shared platform components for a multi-tenant SaaS finance platform. Design LLM orchestration, CI/CD, deployment pipelines, observability, scalable background processing, ingestion and search systems, and PostgreSQL optimization. Drive technical vision, mentor engineers, and deliver production-grade, secure, and observable AI-first solutions end-to-end.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

The Detection & CorpSec Engineer at Quora will build and maintain detection systems, strengthen corporate security controls, and respond to security incidents while collaborating with IT and advising non-technical teams.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

Forward Deployed Engineers at Luma build systems based on customer workflows, defining problems and delivering production solutions using Luma's models and APIs.

Develop scalable applications and backend infrastructure for brand safety and content suitability. Design APIs, deploy ML models, and manage database systems.

As a Senior PPC Specialist, you will develop and execute PPC campaigns, analyze performance data, collaborate with teams, and optimize strategies.