Top Python Jobs in Toronto

As a Senior Backend Developer, you will collaborate on technical integrations with banks, develop custom solutions, and maintain backend systems while engaging with customers and ensuring successful project outcomes.

As a GTM Engineer, you will enhance workflows and tools for Marketing and SDR teams by implementing automation, AI solutions, and improving how Redis generates demand and engages prospects.

The Customer Success Engineer ensures customer satisfaction by optimizing product utilization, providing training, and resolving technical issues while fostering lasting relationships.

The Salesforce Technical Architect will design impactful solutions with Salesforce, oversee engineering projects, and mentor teams while ensuring technical excellence and alignment with business goals.

As a Senior Fullstack Engineer, you'll develop and maintain features for our no-code platform, create UI components, and implement backend services while collaborating across teams.

Build and evolve product features across backend and frontend technologies. Collaborate with Product and Design teams to improve user experiences and take ownership of features in production.

As a Data Developer, you'll maintain and design data systems for billions of events daily, build ETL pipelines, optimize data warehouses, ensure data quality, and collaborate with teams to enhance customer acquisition and product performance.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.

The Deployment Engineer is responsible for deploying and optimizing the endpoint observability platform, managing customer transitions from pilot to production, troubleshooting deployment issues, and ensuring seamless integrations across diverse environments.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

Build, maintain, and operate Mission Control web application and supporting services for satellite operations. Implement and improve HTTP APIs, design and deploy infrastructure, automate operational workflows, and collaborate with cross-functional teams to ensure reliable satellite scheduling, telemetry processing, and mission automation.

As a Technical Consultant, you'll engage with enterprise clients, design AI-enhanced cloud architectures, implement solutions, and mentor teams, ensuring successful outcomes and innovation.

Develop, integrate, and validate IVI software for AFEELA vehicles across applications, middleware, and OS components. Debug, test, and optimize performance; support UI/UX implementation, partner developer support, demo vehicle setups, and cross-regional collaboration while ensuring automotive safety compliance.

As a Software Engineer, you will develop software solutions for cryopreservation projects, build data pipelines, and collaborate across teams to enhance scientific capabilities.

The Sr. Credit Analyst develops credit programs, tailors credit policies, conducts manual underwriting, and collaborates on data science initiatives to improve lending processes.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

As a Senior DevOps Engineer, you will enhance our Kubernetes-based infrastructure, automate processes, contribute to CI/CD pipelines, and train developers on infrastructure topics.

As a GTM Engineer, you will improve the efficiency of Marketing and SDR teams through automation, AI, and workflow design. You will partner with various teams and take ownership of the solution lifecycle from discovery to delivery.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

The Software Engineer will build database infrastructure, solve complex distributed systems challenges, and work directly with customers to provide technical solutions.

Lead campaign governance, metadata architecture, and AI-driven workflow optimization for global marketing. Define campaign hierarchy and metadata, translate business requirements into system logic, produce documentation and visual flows, and integrate AI/LLM automation for tagging, QA, and analytics while partnering with IT, Sales, and Marketing Operations to improve campaign tooling and attribution.

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.

Design, build, and support cloud infrastructure for real-time and batch data pipelines and ML workloads on Google Cloud. Lead architectural decisions, implement IaC (Terraform), manage CI/CD, participate in on-call support, troubleshoot production issues, and mentor data engineers to ensure secure, highly available, and governed data platform operations.