Top Python Jobs in Toronto

Summer 2027 strategy internship involving information gathering, data analysis, hypothesis development and testing, and communicating recommendations to business stakeholders. Projects may address fraud trends, credit card product recommendations, customer spending prediction models, and process improvement. Interns collaborate with strategy analysts, data scientists, product managers, and internal stakeholders in a hybrid Toronto office environment.

Develop analytical business cases, models, credit policies, pricing and product strategies. Query and visualize data, build risk models, test hypotheses, monitor performance, conduct customer and market research, and present insights to senior leaders. Collaborate with legal, technology, data science, process management, and product teams in an agile environment. The role includes rotations and structured training through the Canada Analyst Development Program.

Defines and governs the end-to-end architecture for GM’s scalable co-simulation and virtual integration ecosystem. Responsibilities include establishing interfaces, packaging, execution, configuration, traceability, observability, quality standards, supplier requirements, and technical roadmaps across virtual ECUs, models, software, networks, and test environments. The role leads cross-functional architecture decisions, supports issue resolution, mentors engineers, and aligns global teams while partnering with specialized pipeline, toolchain, quality, and program organizations.

Supports technology and digital transformation consulting projects for financial services clients. Responsibilities include analyzing technical systems, business processes, data flows, and improvement opportunities; contributing to data analysis, dashboards, prototypes, research, and presentations; gathering requirements; documenting findings; and helping design practical technology solutions. The role is intended for students developing consulting, analytical, technical, and communication skills.

Lead full-stack software development for Capital One’s travel portal, owning technical design, architecture, and delivery of fault-tolerant applications. Develop frontend and backend systems using modern programming languages, databases, and cloud services. Establish engineering standards, improve developer tools and practices, provide technical support, and mentor junior and intermediate engineers while collaborating across the full software development lifecycle.

Build Power BI reports, dashboards, semantic models, and Microsoft Fabric data pipelines for client engagements. Translate business needs into technical requirements, integrate APIs and business applications, establish governed data foundations, and support AI readiness. Conduct Fabric assessments, configure security and governance, deliver training, document solutions, review partner work, support demos, and identify follow-on opportunities. The role requires customer-facing communication, analytical problem-solving, and occasional travel.

Build and manage ServiceNow’s Canadian sovereign cloud and globally distributed cloud infrastructure. Develop code-defined, automated solutions using Terraform, Crossplane, Kubernetes, and public cloud platforms. Create and onboard services with Go and Python, apply infrastructure automation tools, research new technologies, and collaborate with SRE, networking, and systems administration teams to ensure secure, stable, scalable environments.

Serve as the senior technical authority for security engineering in Canada's regulated environment. Engineer and operate security controls across on-premises, cloud, and isolated infrastructure; build automation and infrastructure-as-code; support identity, vulnerability, logging, and cloud security tooling; drive remediation against CIS and NIST baselines; and produce operational and executive security posture reporting.

Build and manage ServiceNow’s Canadian sovereign cloud and contribute to globally distributed cloud environments. Automate enterprise infrastructure using Terraform, Crossplane, Puppet, and Ansible across AWS, Azure, and Google Cloud. Develop services with Go and Python, administer Kubernetes, research infrastructure technologies, and collaborate with SRE, networking, and systems administration teams. The role requires software-defined infrastructure experience, cloud expertise, automation skills, and eligibility for Canadian Government Reliability Status screening.

Engineer and operate enterprise security controls across on-premises, cloud, and isolated environments. Build security automation and infrastructure-as-code, partner with infrastructure and application teams on remediation and CIS/NIST compliance, support identity, vulnerability, logging, and cloud security tooling, and produce executive security posture reporting. The role requires Canadian residency or citizenship/permanent residency and Government of Canada Reliability Status screening.

Serve as the senior technical authority for security engineering in Canada’s regulated environment. Engineer and operate security controls across cloud, on-premises, and isolated infrastructure; build automation and infrastructure-as-code; support identity, vulnerability, logging, and cloud security tooling; drive remediation against CIS and NIST baselines; and produce security posture reporting. The role requires expertise in Linux, automation, DevOps, network security, system hardening, and at least two specialized security domains.

Design, develop, test, debug, and maintain cross-platform software using C++ and Python on Windows and Linux. Collaborate on requirements, architecture, and design; conduct code reviews; mentor junior engineers; troubleshoot defects; and document implementations. The role requires expertise in object-oriented programming, multithreading, networking, memory management, build tools, and debugging, with opportunities to contribute to aerospace software development and lead projects.

Designs and executes electrical product acceptance and environmental tests, analyzes reliability and performance data, and develops automated testing software. Creates schematics, test equipment, calibration documentation, and test procedures while supporting compliance with aerospace standards. Collaborates with engineering, quality, software, mechanical, vendors, and customers to integrate test systems, troubleshoot equipment, improve processes, and communicate results.

Develop and maintain scalable Python RESTful APIs and backend services. Build AI-powered applications using LLMs and prompt engineering, integrate enterprise and third-party systems, optimize application performance, and apply secure software engineering practices. Collaborate with cross-functional teams to translate business requirements into reliable technical solutions for financial services clients.

Build and deploy production LLM agents and automated workflows for business teams. Responsibilities include developing Databricks lakehouse data foundations, integrating SaaS and internal systems, implementing evaluation and monitoring, exposing APIs, creating reusable AI components, and ensuring privacy, cost, reliability, and maintainability. The role partners with engineering, data science, architecture, and business stakeholders, and includes documentation, demos, and occasional travel to New York.

Senior Site Reliability Engineer responsible for maintaining reliability, availability, scalability, security, and performance across a regulated cloud environment. Duties include troubleshooting production infrastructure, leading incident response and root-cause analysis, automating operational tasks, managing Linux, cloud, Kubernetes, databases, networking, monitoring, and configuration systems, and improving service reliability. The role requires shift-based 24x5 coverage, on-call participation, collaboration across technical teams, and eligibility for Canada Government Reliability Status screening.

Provides staff-level technical leadership for reliability, availability, scalability, security, and performance of a regulated cloud environment. Leads incident response, root-cause analysis, automation, observability, Kubernetes and Linux operations, database and networking troubleshooting, architecture reviews, and cross-functional reliability initiatives. Mentors engineers and establishes operational standards across teams while supporting shift-based coverage and on-call rotations.

Own and advance MLOps practices for real-time machine learning systems, including model deployment, serving, scaling, monitoring, lifecycle automation, and infrastructure optimization. Partner with ML scientists, data engineers, and Product to operate reliable low-latency models in Databricks and AWS. Establish engineering standards, resolve production issues, review designs and code, mentor colleagues, and track model performance, reliability, and costs.

Develop secure integrations enabling AI agents and applications to access exchange market data. Build backend services and APIs using Python, Java, or comparable technologies; implement authentication, authorization, identity management, licensing, entitlements, and usage controls. Apply market-data distribution expertise and AI integration patterns such as LLMs, agentic AI, and MCP while collaborating with financial institutions and technology stakeholders.

Develop AI-enabled solutions for market surveillance, including alert investigation, trading-pattern analysis, anomaly detection, evidence gathering, and exception handling. Apply Python, SQL, machine learning, and LLM technologies to order, trade, and market data. Collaborate with compliance, surveillance, and technology stakeholders to translate operational requirements into scalable analytical and workflow solutions supporting trading compliance and market-abuse detection across equities and derivatives.

Develop AI-powered document-processing solutions for corporate actions and asset servicing. Build Python, API, LLM, and Document AI capabilities to extract and validate information from corporate-action documents. Translate complex business rules into technical workflows, collaborate with financial-services stakeholders, and improve securities-processing accuracy, scalability, and efficiency.

Own and advance MLOps practices for reliable, scalable, cost-efficient machine learning systems supporting ad selection. The role operationalizes models in Databricks and AWS, builds automated training and deployment pipelines, establishes model governance and monitoring standards, designs low-latency serving infrastructure, resolves production issues, maintains performance dashboards, reviews designs and code, and mentors colleagues.

Designs and delivers end-to-end cloud platform solutions for North American customers. Responsibilities include analyzing requirements, developing solution proposals, designing cloud architectures, onboarding 5GC and other applications, troubleshooting networking and infrastructure issues, collaborating with product and offshore teams, documenting root-cause analyses, and improving delivery quality. The role requires extensive experience with private and public clouds, Kubernetes, Docker, OpenStack, networking, storage, automation, Linux, and cloud-native security.

Build and deploy AI agents that redesign and automate business workflows across Justworks International. Identify high-impact opportunities, map processes, define human-in-the-loop systems, integrate business platforms, and ship production agents. Own evaluation, monitoring, quality, cost, latency, adoption, and business KPIs while partnering with AI, operations, customer success, and leadership teams.

Systems engineering intern supporting aircraft development programs and environmental control systems. Responsibilities include scripting and process automation, closed-loop control law design, thermal-mechanical system simulation using MATLAB and Simulink, data analysis tools, and development of system, software, and hardware requirements. The role is on-site in Mississauga and involves collaboration with control systems engineers.