Top Python Jobs in Toronto

Design, implement, operate, test, and debug scalable backend services, including identity, social graph, and persistence systems. Collaborate across teams to deliver product features while optimizing availability, scalability, operational excellence, and cost. Participate in incident response and apply best practices to highly available systems operating at significant scale.

Build and scale production-grade GenAI services, including MCP Server, MCP Gateway, and AI Agent systems. Responsibilities include end-to-end feature ownership, architecture, implementation, deployment, monitoring, debugging, testing, documentation, and collaboration with product and design teams. The role emphasizes scalable and reliable software, AI-assisted development, security, guardrails, PII filtering, and continuous engineering improvement.

Design, build, deploy, and operate production optimization applications powered by machine learning and advanced algorithms. Develop evaluation and testing systems, ensure reliability and observability, and direct AI coding agents through precise specifications and reviews. Collaborate with customers and cross-functional teams to translate business needs into scalable solutions, communicate risks, and influence product direction.

Leads the development and production deployment of advanced data science and machine learning solutions for cybersecurity, payments, and fraud. Designs scalable graph analytics, models complex risk patterns, builds data pipelines using Python, SQL, Spark, Hadoop, and Databricks, and establishes validation and monitoring strategies. Partners with engineering, cybersecurity, product, and operations teams, communicates insights to stakeholders, and manages and mentors junior data scientists.

The Distinguished Engineer defines technical vision, architects scalable cloud solutions, ensures design and implementation quality, and advises engineering teams on performance, operability, and other non-functional requirements. The role provides technical thought leadership across the organization, mentors engineers, communicates expertise through documentation and code samples, supports multiple initiatives, and contributes hands-on to advanced software development and architecture.

Design and operate cloud-native platforms for software, release, and production validation. Build Kubernetes-based infrastructure, CI/CD pipelines, observability, quality gates, automated testing, resilience controls, and self-service environments. Lead architecture decisions and cross-team projects, resolve complex infrastructure challenges, reduce operational toil, and mentor engineers while promoting reliability and operational excellence.

Coordinate regional distribution and delivery of data center hardware, including warehousing, transportation, reverse logistics, spare parts, and infrastructure projects. Manage relationships with freight forwarders, customs brokers, vendors, and data center partners across a global supply chain. Develop process improvements and performance measurements using business intelligence and AI tools while supporting data center expansions, hardware renewals, and procurement activities.

Build and deploy AI agents, reusable skills, and automated workflows that improve Accounting operations. Identify manual processes, prioritize automation opportunities, integrate systems, support journal entries and reconciliations, validate AI outputs, design exception handling, document solutions, and drive adoption. Partner with Accounting, IT, and system owners while measuring time savings, accuracy, reliability, and ongoing system improvements.

Lead hands-on software development, technical design, architecture, and full SDLC delivery for fault-tolerant, cross-functional applications. Establish engineering standards, improve internal frameworks and developer experience, provide technical guidance, contribute to high-level design, and mentor junior and intermediate engineers. The role uses cloud technologies and modern software practices in a hybrid environment.

Owns Opendoor’s enterprise identity control plane, including workforce authentication, passwordless access, session policies, non-human and AI-agent identities, lifecycle automation, access governance, and identity-as-code. Builds Okta integrations and first-party tooling, enforces secure defaults across SaaS and AI tools, supplies identity telemetry to detection systems, supports incident response, and mentors security and IT engineers.

Design and maintain Azure DevOps CI/CD pipelines for enterprise data and analytics platforms. Automate deployments of Microsoft Fabric, Azure Data Factory, Synapse Analytics, Databricks, and Power BI assets. Manage Azure infrastructure, security controls, identity, secrets, monitoring, logging, and infrastructure as code using Bicep or ARM Templates. Collaborate with architects, developers, and platform engineers to improve reliability, operational efficiency, and delivery automation.

Design and build AI security tools, conduct penetration testing and red teaming, assess AI applications and third-party technologies, and establish secure development standards. Integrate automated security testing into CI/CD pipelines, evaluate risks such as prompt injection and data leakage, troubleshoot production systems, and collaborate with engineering, security, customers, vendors, and business stakeholders.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Lead full-stack software development across the lifecycle, owning architecture and technical design for fault-tolerant, cross-platform applications. Establish engineering standards, improve developer tools and frameworks, provide technical support, and mentor junior and intermediate engineers. Build front-end and back-end systems using modern programming languages, databases, and cloud services while collaborating with technical and business stakeholders.

Lead hands-on software development across the full SDLC, owning technical design, architecture, and development of fault-tolerant, cross-functional applications. Establish engineering standards, improve internal tools and developer experience, provide technical guidance, and mentor junior and intermediate engineers. Collaborate with technical and business stakeholders in an agile, cloud-based environment.

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, and parameter-efficient fine-tuning. Own architecture, software development lifecycle, cloud infrastructure, governance, responsible AI guardrails, DevOps automation, testing, and deployment. Collaborate with cross-functional teams, translate business needs into technical requirements, conduct code reviews, and ensure reliable production systems using AWS, Azure, and Databricks.

Own production database troubleshooting, incident root-cause analysis, performance tuning, observability, and automation across large-scale PostgreSQL and MariaDB fleets. Support multi-tenant cloud infrastructure, analyze Linux and distributed-system performance, conduct stress testing, influence platform decisions, and mentor engineers. The role requires extensive relational database, web application, Unix, SaaS, and production support experience, with desired skills in Python, JavaScript, Ansible, Kubernetes, and CI/CD.

Build and maintain scalable backend applications and REST APIs using Java and/or Python. Integrate AI-powered workflows, automation, and LLM capabilities into enterprise financial services applications. Develop system integrations, manage technical deliverables from design through implementation, collaborate with business and technology stakeholders, and maintain code quality while adapting to evolving technical environments.

Design, develop, test, and maintain full-stack digital platforms using Python, Django, Angular, PostgreSQL, AWS, REST APIs, and microservices. Build CMS capabilities with Wagtail, integrate databases and messaging systems, and contribute to CI/CD, automated testing, code reviews, and cloud deployment. Collaborate with product, architecture, business analysis, and engineering teams to translate evolving financial-services requirements into scalable, maintainable solutions.

Provide technical support to MongoDB customers by diagnosing complex architecture, performance, recovery, security, and deployment issues. Advise customers on operating MongoDB at scale, communicate solutions clearly, advocate for customer needs with product and development teams, and contribute to internal support-tool development. The role requires strong troubleshooting, systems, database, networking, cloud, communication, teamwork, and continuous-learning skills.

Develop and scale AI-powered developer productivity capabilities, enterprise developer tooling, CI/CD systems, internal platforms, and full-stack applications. Optimize developer workflows, infrastructure, build systems, GitHub ecosystems, and code review processes. Collaborate with engineering, product, and business leaders to deliver reliable technical solutions, evaluate emerging technologies, solve complex problems, mentor engineers, and promote continuous learning.

Leads McCain’s global digital manufacturing transformation by defining analytics and digital roadmaps, architecting solutions integrating MES, SCADA, PLCs, and cloud platforms, and developing AI/ML models for predictive maintenance and process optimization. Drives Industry 4.0 adoption, data governance, operational improvements, and enterprise-scale change initiatives while advising senior leadership and partnering across manufacturing, supply chain, and IT.

Design and verify hardware security IP and embedded processor subsystems for SoCs. Develop test plans, UVM/SystemVerilog/Verilog and C testbenches, verification models, and test strategies. Debug failures, ensure functional coverage, and support power and performance optimization. Work with design and project management teams, improve verification methodologies, and mentor engineers. Focus areas include cryptography, key management, secure boot, hardware roots of trust, ARM architectures, multi-clock and multi-power domains, and firmware/hardware co-verification.

Lead data science initiatives for agentic AI products, partnering with data scientists, AI/ML engineers, and product managers. Build, deploy, validate, and optimize machine learning models using large-scale numeric and textual data. Design A/B tests, analyze telemetry, translate technical findings into business strategy, research emerging technologies, and develop talent while guiding enterprise-scale AI decisions.

Build and operate cloud security platforms protecting PagerDuty’s AWS and Kubernetes environments. Harden EKS, Istio, containers, IAM, PKI, and encryption; automate controls with Python, Go, Terraform, and policy-as-code. Shape detections, threat hunting, incident response, and compliance evidence across FedRAMP environments. Partner with engineering, AppSec, and GRC teams, develop AI-assisted security automation, participate in on-call, mentor teammates, and lead security initiatives.