Top Python Jobs in Toronto

Responsible for managing the database infrastructure, monitoring queries, automating deployments, enhancing dashboards, and facilitating database operations as the company expands into new regions.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

Design and maintain integrations with third-party security platforms, enhance APIs, and develop CI/CD processes for the Censys Platform while focusing on customer needs and emerging technologies.

Design and develop software applications for logistics and supply chain operations, collaborating with teams to enhance service offerings and ensure robust functionality.

The Pricing Actuary will analyze pricing strategies, execute rate changes, and develop innovative pricing solutions using data analytics and coding skills in a collaborative team.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

The role involves analyzing and implementing product requirements, integrating voice recognition technologies, developing unit tests, and writing technical documents for a software development kit.

The Senior Software Developer will analyze product requirements, integrate voice recognition technologies, develop unit tests, and improve product performance across platforms.

Lead design and delivery of enterprise web applications using Angular and .NET Core. Collaborate with stakeholders and cross-functional teams, drive architecture and technical decisions, mentor engineers, ensure high performance, security, and testability, and participate in agile ceremonies and CI/CD deployments.

Design and build IaC pipelines and ETL solutions, automate file processing, write complex SQL in BigQuery, produce reports and analyses supporting operations, marketing, sales and data science, recommend process improvements, and ensure organized data storage and useful dashboards.

Lead GRC audit operations: manage compliance automation (Vanta), run external audits (SOC 1/2, ISO 27001), build internal audit program, automate evidence collection, track remediations, and maintain policies and controls.

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

The Senior BI Engineer will design and implement scalable reporting infrastructure, manage data pipelines, and collaborate with Analysts and Engineers to address data requests while ensuring data accuracy and quality.

The Senior Ceph Storage Engineer will architect and deploy Ceph clusters, manage Linux environments, and optimize storage technologies for internal applications.

As a Data Engineer, you'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

Design, implement, and operate telemetry, monitoring, alerting, and infrastructure. Deploy OpenTelemetry collectors, configure pipelines/exporters, build infrastructure with IaC, maintain CI/CD, create Grafana dashboards and alerts, troubleshoot production incidents and perform RCA, and collaborate with developers to instrument apps and define SLIs/SLOs.

The Databricks Administrator will manage and optimize Databricks environments for banking data analytics, ensuring performance and compliance.

The Network Specialist will support and enhance the company's global network by designing, implementing, and optimizing network infrastructure and application delivery solutions across various environments.

Lead analyses of claims frequency and severity, quantify impacts of industry changes, support claims operations with cost-benefit and KPI monitoring, communicate data-driven insights (leveraging GenAI), improve data pipelines and visualization, and coach/prioritize team work.

The role involves designing infrastructure for distributed systems, managing CI/CD pipelines, optimizing performance, collaborating with teams, and ensuring security and automation in cloud environments.

As a Data Scientist at Lighthouse, you'll develop and implement ML and AI techniques, influencing key product features and enhancing personalization for hotels globally.

Join the Kernel Reliability team to improve the reliability of compute clusters, assist in debugging, and enhance system tools alongside hardware teams.

Manage in-force asset intensive, longevity and capital solutions products, ensuring compliance, driving efficiencies, and supporting new business growth through data analyses and strategic projects.