Top Python Jobs in Toronto

Operate and maintain an on-prem OpenShift platform (including Service Mesh/Istio), manage cluster lifecycle, container image build and supply-chain, run CI/CD pipelines, administer RHEL hosts and databases (CockroachDB, EDB Postgres), manage ingress/TLS and certificates, implement automation (Ansible, Bash, Python), monitor observability/alerts, and participate in incident response and change management to meet SLA/SLO targets.

As a Site Reliability Engineer, you will enhance system reliability, drive incident responses, design tools for automation, and participate in on-call rotations.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Lead and grow a team of bioinformatics analysts at DNAstack, shaping the function's future, improving project management, and collaborating across teams to deliver impactful solutions for precision medicine.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

Embed with cross-functional teams to map high-value workflows, design agentic or deterministic automated solutions, build production-ready tools, and run them with monitoring, evals, and continuous improvement. Balance stakeholder discovery, systems integration, full-stack development, and operational ownership to increase throughput and reduce cost.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

Lead the development of secure and scalable SaaS applications focusing on AI/ML integrations and backend systems, while collaborating across teams to optimize functionality and performance.

Develop and deploy scalable deep learning and reinforcement learning systems, optimize performance, and collaborate with data teams at Quincus.

The Site Reliability Engineer will enhance operational reliability, managing incidents, improving system performance, and maintaining metrics to ensure scalability and resilience.

The DevOps Engineer will enhance CI/CD workflows, manage AWS infrastructure, automate operations, and improve system reliability and monitoring.

Lead design, implementation, and management of CI/CD, container platforms, IaC, and observability. Build pipelines with Tekton and Harness, administer OpenShift/Kubernetes, automate provisioning with Terraform/Ansible, and monitor systems with Prometheus/Grafana. Collaborate with development teams, ensure resiliency/scalability/security, drive platform strategy, perform root cause analysis, and enforce compliance and quality standards.

Lead and manage applications development teams to design, implement, and deliver high-quality, resilient payment systems. Provide technical oversight, drive architecture and code quality, manage releases and post-production support, and liaise with stakeholders. Coach engineers, govern processes (CI/CD, observability, TDD), and lead payment modernization projects within a banking payments domain.

The Java Full Stack Developer leads applications systems analysis, resolves complex problems, develops standards for coding, and coaches mid-level developers while ensuring compliance and risk assessment.

Lead the design and implementation of application systems, provide technical expertise, mentor developers, and ensure compliance with standards and regulations.

Design, build, and maintain scalable data pipelines and enterprise AI agents using Python, FastAPI, PySpark, Kafka, and Databricks. Deploy GenAI agents with Google ADK/Flash LLMs, build data federation and Data Mesh layers (Starburst), automate microservice integrations on cloud-native platforms (OpenShift/Kubernetes) with CI/CD, and integrate agentic tools (Devin.AI, GitHub Copilot, MCP) via prompt engineering. Ensure data quality, security, and regulatory compliance while improving data engineering processes.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

Lead design, build, and maintain high-availability CI/CD infrastructure. Advise developers/testers on DevOps toolchains, research emerging tools, optimize build and release processes, perform code reviews and security analysis, manage Microsoft Power Platform, and collaborate across the SDLC to deploy and tune cloud/PaaS solutions.

The AI Specialist will integrate AI technologies into R&D processes, develop automation tools, collaborate with researchers, and maintain high-quality production code.

As a Software Developer at Xanadu, you will design visualization interfaces, maintain a Python backend, and optimize performance for quantum computing tools while collaborating with diverse teams.

Develop and optimize quantum compilation and Quantum Error Correction software to bridge high-level logical abstractions and hardware control. Translate QEC research into production-grade Python and C++ implementations, integrate with compilation IRs and control system APIs, collaborate across hardware and research teams, and maintain high standards for testing, documentation, and CI/CD.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Design, build, and operate integrated nonlinear optical experiments to generate and measure squeezed vacuum. Benchmark and characterize photonic integrated chips using CW and pulsed lasers, implement laser/resonator locking, analyze data with Python, and produce technical documentation to optimize scalable quantum light sources.

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.