Top Python Jobs in Toronto

Develop and maintain embedded firmware for EEG and biosensing wearables. Own firmware releases, STM32 platforms, BLE communication, Bluetooth audio, biosignal acquisition, power management, secure bootloaders, field debugging, manufacturing test systems, and new hardware bring-up. Collaborate with app, cloud, QA, research, customer care, and manufacturing teams while documenting firmware architecture and protocols.

Own and deliver high-availability, low-latency backend systems supporting authentication, verification, and fraud journeys across web and mobile. Lead quarterly goals, guide engineers through ambiguous problems, collaborate with product, design, and analytics, resolve technical and business issues, monitor system availability, improve engineering standards, support on-call operations, and develop team talent.

Build and scale CaptivateIQ’s sales planning platform using Django, Python, React, and TypeScript. Develop quota, capacity, territory management, and AI-enabled revenue planning capabilities. Collaborate with product and design, optimize performance for enterprise data volumes, design reliable APIs and data models, maintain production observability and testing standards, and mentor engineers. The role also supports AI evaluation, guardrails, feedback loops, and human-in-the-loop workflows.

Supports credit risk and fraud prevention strategy through portfolio, customer, and operational data analysis. Responsibilities include developing dashboards and KPI reporting, evaluating adjudication strategies, segmenting customer and application data, monitoring fraud and loss trends, validating strategy changes, and producing ad hoc analyses and recommendations. Collaborates with Credit Risk, Fraud, AML, Product, Marketing, and Operations teams to improve reporting, data assets, and decision-support tools.

Build and maintain automated GTM workflows, data models, ETL pipelines, enrichment processes, and integrations across Salesforce, Outreach, Gong, Snowflake, and Clay. Develop AI-powered agents for research, prospecting, and operational tasks while partnering with Sales, RevOps, Marketing, Customer Success, and Engineering. Identify repetitive processes, deliver reliable technical solutions, and improve seller productivity and GTM effectiveness.

Provides hands-on technical leadership for finance core systems, including architecture, technical standards, roadmaps, complex production issue resolution, scalable transaction processing, data pipelines, security, observability, and AI solutions. Leads innovation through proof-of-concepts, mentors senior engineers, communicates technical decisions to executives, and influences engineering practices across the organization.

Build and maintain scalable, tested data models using SQL, dbt, and cloud data warehouses. Partner with Product, Revenue Operations, Finance, Data Engineering, and other stakeholders to translate business needs into trusted datasets. Establish data quality monitoring, documentation, governance, and modeling standards while supporting analytics, reporting, self-service data use, and AI-ready products. Use AI-powered development tools to improve productivity and code quality.

Designs and maintains automated hardware test software for photonic chips across bench-top, wafer, and automated test equipment environments. Responsibilities include developing test methods and flows, controlling instruments, integrating probers and embedded systems, building data pipelines, debugging hardware/software interactions, supporting releases, and collaborating with hardware, characterization, and manufacturing teams. The role also involves test architecture ownership, mentoring engineers, and hands-on laboratory work.

Conduct quantitative modeling, qualitative research, and analysis for complex business and litigation cases. Prepare expert reports and client deliverables, collaborate with internal and external experts, and contribute to strategy development. Associates work across industries and practice areas while supporting recruiting, mentoring, inclusion, pro bono, business development, and marketing initiatives.

Designs, builds, and supports Adobe Experience Cloud customer data and activation solutions. Responsibilities include configuring AEP, AJO, CJA, and RTCDP; developing batch and streaming data pipelines; designing XDM schemas and identity strategies; integrating enterprise systems; supporting audience activation and journey orchestration; monitoring platform operations; troubleshooting data issues; and implementing governance, privacy, security, and deployment best practices.

Supports corporate financial planning, forecasting, budgeting, performance reporting, KPI development, profitability modeling, valuation, and AUM continuity reporting. Maintains financial models, performs variance and scenario analysis, identifies business improvement opportunities, and provides decision support to senior leadership, the Board, and stakeholders. The role also contributes to strategic planning, financial strategy, and enterprise-wide value creation.

Designs and validates end-to-end electro-optic systems for high-volume photonics products. Responsibilities include system modeling with Cadence, VPI Photonics, and Keysight ADS; co-designing silicon photonic devices; developing high-speed RF experiments; testing optical modulators and receivers; analyzing performance, power, and production requirements; and collaborating with electronics and photonics engineering teams.

Design, build, and support Adobe Experience Platform solutions, including RTCDP, AJO, and CJA. Develop batch and streaming data pipelines, XDM schemas, identity strategies, integrations, audience activation, journey orchestration, analytics models, and data governance controls. Troubleshoot ingestion, profile, integration, and activation issues while supporting monitoring, releases, testing, documentation, and production operations across cross-functional teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Design, deploy, and operate enterprise AI/ML solutions across AWS, including machine learning pipelines, MLOps, Generative AI, LLMs, retrieval systems, knowledge graphs, and real-time applications. The role requires production software engineering, data engineering, model monitoring, governance, security, and responsible AI expertise. The engineer will partner with stakeholders, lead technical design discussions, influence architecture, and mentor team members while supporting scalable, cloud-native AI services.

Design, develop, validate, and optimize deep learning computer vision models for real-time edge processing in camera systems. Responsibilities include object detection, segmentation, tracking, sensor fusion, model quantization, pruning, deployment pipelines, monitoring, failure investigation, technical documentation, cross-functional delivery, mentoring, and technical interviews.

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

Provides expert technical support for complex software issues involving microservices, APIs, integrations, operating systems, cloud platforms, and networking. Resolves escalated cases, collaborates with Engineering and Product, analyzes ticket trends, maintains documentation, and mentors junior engineers. Builds and optimizes Zendesk workflows and support automation using tools such as Superblocks, n8n, Tines, and webhooks to improve operational efficiency and customer satisfaction.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Hands-on technical leader for backend/platform systems: design and operate distributed, reliable services, build third-party integrations, mentor engineers, drive architecture and operational excellence (monitoring, tracing, alerts), and partner with product and other teams to deliver scalable, production-grade features.

Design and operate globally distributed database systems across bare-metal and cloud environments. Lead reliability, performance, automation, observability, incident response, capacity planning, security, and database change management. Establish technical direction, simplify the infrastructure footprint, develop data-platform roadmaps, troubleshoot complex distributed-system failures, and mentor engineers across teams.

Validate and integrate firmware for 400G/800G ZR/ZR+ optical coherent pluggable modules. Develop and execute manual and automated CMIS-compliant test strategies, enhance Python automation on the PACE platform, analyze reports, investigate customer issues, and maintain Ottawa laboratory equipment. Collaborate with cross-functional Scrum teams, document procedures and results, and provide on-site lab support at least three days per week.

Supports pre-sales opportunities by translating customer requirements into technical solutions, leading demos and technical evaluations, designing permission schemas and proofs of concept, troubleshooting demonstrations, and collaborating with account executives, product, and engineering teams. The role requires backend programming, database, cloud, Kubernetes, API integration, and architecture expertise, plus strong customer communication. Travel is typically 3 to 4 days per month for customer visits and team offsites.

Build and operate Ground News’s data platform, including warehouse integrations, scalable dimensional models, analytical layers, and KPI infrastructure. Own ingestion pipelines, data quality, monitoring, incident response, infrastructure as code, and deployment workflows across AWS and GCP. Partner with analysts, ML engineers, and product stakeholders to create reliable, reusable data models and ensure accurate, observable, cost-effective data systems.

Design, develop, optimize, and deploy scalable computer vision and vision-language systems using classical computer vision and deep learning. Build evaluation frameworks, monitor production models, debug issues, and improve architectures with new data. Collaborate with product managers and cross-functional teams to deliver practical AI solutions across cloud and edge environments.