Top Python Jobs in Toronto

Provides production database administration and support across Oracle RDS, Aurora PostgreSQL, and Microsoft SQL Server in AWS environments. Responsibilities include incident response, performance tuning, troubleshooting, security hardening, monitoring, backup and recovery, schema changes, ticket management, documentation, and collaboration with application and infrastructure teams. The role supports highly available customer-facing databases and contributes to automation, compliance, reliability, and continuous operational improvement.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Supports application security across product and engineering teams by reviewing code, configurations, designs, vulnerabilities, and pull requests. Helps triage and prioritize security findings, provides remediation guidance, develops scripts and automation, and promotes secure coding practices. The role communicates risk to technical and non-technical stakeholders, collaborates cross-functionally, and develops offensive, defensive, and software engineering skills.

Lead independent validation and ongoing monitoring of complex financial and analytics models, including ALM, loss forecasting, loan transition, corporate planning, and engagement models. Identify weaknesses, communicate findings, guide remediation, and strengthen model risk governance. Partner with Finance, Quantitative Research, Growth Analytics, Internal Audit, Internal Controls, Accounting, and Compliance on validation, audit, regulatory, and examiner matters.

Own and optimize the go-to-market technology stack across Salesforce and adjacent systems. Build integrations, automation, AI-powered workflows, reporting, data-quality controls, and processes for commissions and territory management. Investigate operational gaps, manage incidents, evaluate GTM tools, and lead cross-functional systems projects from discovery through implementation. Partner with Sales, Marketing, Customer Success, and Finance to deliver scalable, intuitive processes and improve productivity.

Design, build, operate, and maintain critical distributed systems powering Grafana Cloud Metrics and the open-source Mimir project. Drive projects from concept through production, improve reliability and performance, contribute to roadmap and design decisions, review code, support teammates, manage releases, and participate in follow-the-sun on-call rotations. Work with cloud infrastructure, microservices, observability systems, and large-scale telemetry databases while collaborating in a remote, open-source environment.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Develop, test, maintain, and deploy software and AI-enabled solutions for nuclear industry projects. Build features and lightweight applications, support AI-driven functionality, troubleshoot applications, and contribute to testing, integration, and deployment. Collaborate with stakeholders to translate needs into technical solutions while gaining experience with full-stack development, AI applications, and modern architectures.

Build and operate reliable data pipelines transforming flight test, simulation, and operational data into versioned, traceable ML training datasets. Responsibilities include ingestion, normalization, time alignment, validation, dataset lineage, anomaly mining, labeling workflows, deployment feedback loops, monitoring, and data coverage analysis. Collaborate with flight test and operations teams on instrumentation and data access. The role is on-site in Boston and requires production data engineering experience supporting machine learning pipelines.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Build, modify, and maintain Power BI reports using data from multiple sources. Analyze data and recommend optimized SQL queries and stored procedures. Design operational processes that summarize SQL Server and database environments to support database upgrades and migrations. Apply data modeling, warehousing, integration, and ETL expertise while collaborating with teams and communicating solutions effectively.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

The Senior Developer will enhance self-service experiences, drive product growth through experimentation, and collaborate with cross-functional teams for measurable outcomes.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Lead technical direction for developer platform tooling: CI/CD, build systems, and AI coding agents. Design, build, and scale AI agents for coding, code review, testing, release automation, and incident response. Standardize tools, mentor engineers, drive cross-team technical projects, and represent the platform externally.

Design, build, and maintain Databricks/Spark ETL pipelines and Bronze-Silver-Gold architectures; implement event-driven streaming with Pub/Sub and Protocol Buffers; prepare datasets for LLM fine-tuning and embeddings; integrate third-party sources (Shopify, Klaviyo); implement attribution, CLV, and analytics models; ensure data quality, monitoring, and idempotent retry-safe pipelines.

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization capabilities for photovoltaic and battery systems, translate physical models into scalable software, shape computation infrastructure, and own services through production. The role includes technical feature leadership, architecture, testing, code reviews, mentoring, cross-functional collaboration, and on-call support.

Build and enhance Coalition’s underwriting workbench, a data-intensive frontend application used by underwriters. Responsibilities include developing responsive React interfaces, AI-assisted workflows, complex state management, REST API integrations, performance and reliability improvements, reusable components, testing, code reviews, and roadmap contributions. The role partners closely with Product, Design, backend engineers, and underwriters to improve workflows and user outcomes.

Lead the architecture and development of a greenfield iOS and Android consumer application from concept through launch and scale. Make foundational decisions across React Native, Expo, and native platforms; build polished, performant mobile experiences; establish engineering standards and release processes; integrate backend, computer vision, and AI capabilities; and mentor engineers while partnering with Product and Design.

Lead technical vision and architecture across cloud-native platforms. Provide hands-on development, design and scalability guidance, mentor engineers, produce reusable solutions, and influence engineering excellence organization-wide.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.

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.

Owns end-to-end Lyric platform deployment workstreams for enterprise supply chain customers, from planning through go-live and steady-state monitoring. Responsibilities include project planning, stakeholder and executive alignment, risk management, UAT, customer training, adoption, requirements translation, and AI-enabled supply chain process improvement. The role is customer-facing, hands-on, autonomous, and involves collaborating with technical delivery teams and experienced operators.