Toronto, On Python developer jobs remote Jobs – 130 Openings This Week

Cyber Security Agentic AI Developer
Spectra Group Inc —Toronto, ON
- $90–$100 an hour
- Immediate opening
- Hybrid work
- Azure
- SQL
- Analysis skills
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19h
Intermediate Automation Engineer
Miipe Inc —Markham, ON
- $60,000–$65,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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Python Developer - Azure
NTT DATA —Toronto, ON
- $65–$75 an hour
- Remote
- Azure
- Computer Science
- Engineering
- Disability insurance
- Dental care
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Hiring for Big Data Developer- Toronto
Varite Inc., —Toronto, ON
- $50–$60 an hour
- Contract
- Hybrid work
- SQL
- AWS
- APIs
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8d
Software Developer, Backend
Leap Tools —Toronto, ON
- $65,000–$115,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- AWS
Gen AI Ansible Developer – Ansible, LLM, Python, YAML, Shell Scripting
APPTOZA INC. —Toronto, ON
- $45–$50 an hour
- Hybrid work
- Azure
- AWS
- Software development
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13d
AI Adoption & Change Consultant – Enterprise AI Solutions
Recrute Action Inc. —Toronto, ON
- $60–$83 an hour
- Full-time
- Hybrid work
- Bilingual
- English
- Java
- Work from home
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6d
Data Engineer | Toronto or Remote
SearchVelocity —Toronto, ON
- Remote
- Computer Science
- Engineering
- SQL
- Flextime
Data Science Developer
Arima —Toronto, ON
- $65,000–$85,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Databases
- Dental care
- Paid time off
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1d
Full Stack Developer
Rentsync —Toronto, ON
- $100,000–$110,000 a year
- Full-time
- Remote
- AWS
- Analysis skills
- JavaScript
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Agentic AI Systems Developer - Remote
NTT Ltd —Toronto, ON
- $149,445–$207,562 a year
- Full-time
- Hybrid work
- Azure
- AWS
- APIs
AI Solutions Developer (Full-time, 1 year contract with possibility for extension)
BrandActive —Toronto, ON
- $65,000–$90,000 a year
- Immediate opening
- Hybrid work
- Azure
- Oracle
- System design
- Dental care
- Paid time off
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3d
Technical Support Engineer
Quicknode —Toronto, ON
- $104,000–$130,000 a year
- Full-time
- Remote
- APIs
- Linux
- Python
Developer, AI Transformation Team
Escalent —Toronto, ON
- $135,000–$155,000 a year
- Full-time
- Remote
- Azure
- DevOps
- Databases
Quick apply
6d
Staff/Lead Python Engineer (FastAPI, Orchestration)
Mimica —Toronto, ON
- Full-time
- Remote
- English
- Software development
- Python
- Paid time off
- Flexible schedule
Staff Software Developer - AI & Platform
Auvik Networks —Toronto, ON
- $160,000–$208,000 a year
- Remote
- System design
- Computer networking
- AI
Quick apply
Java + Python Backend Developer
Recutify Inc. —Toronto, ON
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Oracle Fusion Techno-Functional Developer - Remote, Canada
Block, Inc. —Toronto, ON
- $104,100–$156,100 a year
- Remote
- Oracle
- Java
- SQL
- Paid time off
8d
Data Developer
Priceline.com —Toronto, ON
- $100,000–$120,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
Databricks Data Architect, Deloitte Global Technology
Deloitte —Toronto, ON
- $85,000–$156,000 a year
- Remote
- Azure
- Computer Science
- Schematics

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Cyber Security Agentic AI Developer

Spectra Group Inc -
Toronto, ON

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Job details

Contract
$90–$100 an hour
19 hours ago

Qualifications

Azure
Law
CISSP
Git
GCFA
SQL
Analysis skills
Incident response
REST
GCFE
GitHub
APIs
SIEM
JSON
Cybersecurity
AI
Communication skills
Python
PowerShell
GCIH

Full job description

AI-focused Incident Response - Cyber Security

ContractorLine of Business: Technology and OperationsBill

Start date: ASAP

Contract duration: 6 months

Extension likelihood: yes

Possibility of conversion to FTE: possible

Working hours: 830am-5pm ET,

Location: Toronto ON

Role Mandate:

The contractor will support the Incident Response organization’s AI initiatives through the development, evaluation, and operationalization of AI-assisted and agentic cybersecurity workflows. This includes building and testing workflows that use large language models, agent orchestration, retrieval-augmented generation, tool calling, structured outputs, and human-in-the-loop review to improve investigation efficiency, automate repeatable analyst activities, and enhance security operations. The role requires a strong cybersecurity background, preferably in Incident Response, threat detection, investigations, or security operations, combined with practical hands-on experience or strong working knowledge of AI workflow development, agent frameworks, automation, and emerging AI technologies. Team Structure:Standalone role on a current team of 5, with independent work but a high collaborative component across the IR team.

Role Responsibilities:

Design, prototype, and evaluate agentic AI workflows that support Incident Response use cases such as alert triage, investigation planning, evidence summarization, enrichment orchestration, disposition recommendation, and reviewer routing. Build AI-enabled workflow prototypes using frameworks and patterns such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, OpenAI Assistants/Agents SDKs, GitHub Copilot SDK, or similar agent development frameworks.Develop structured agent workflows involving tool calling, retrieval-augmented generation, multi-step reasoning, state management, memory handling, guardrails, human approval checkpoints, and deterministic workflow routing. Create and maintain evaluation approaches for AI-assisted security workflows, including prompt/version testing, historical backtesting, golden datasets, adjudication comparison, hallucination/error analysis, confidence calibration, precision/recall measurement, and regression testing. Support the design of AI workflow observability and auditability, including logging of inputs, outputs, prompts, model selections, token usage, cost attribution, tool calls, intermediate reasoning artifacts where appropriate, reviewer decisions, and final dispositions. Help translate AI security workflow prototypes into operationally defensible capabilities by documenting system behavior, workflow assumptions, known failure modes, guardrails, escalation criteria, fallback procedures, and human-in-the-loop controls. Work with technology partners to assess integration patterns between AI workflows and security platforms such as SIEM, SOAR, EDR, case management, threat intelligence, enrichment APIs, ticketing systems, and internal knowledge repositories.

Must Have Skills: Strong cybersecurity background, ideally 7+ years in Incident Response, threat detection, investigations, digital forensics, security operations, threat intelligence, or adjacent cyber operations roles. Practical experience with security operations workflows, including alert triage, event enrichment, escalation decisioning, evidence collection, investigation documentation, case management, and incident response reporting. Hands-on experience designing, building, testing, or evaluating AI-assisted workflows, agentic workflows, LLM-based applications, automation pipelines, or analyst productivity tooling. Practical familiarity with agentic AI concepts such as tool calling, workflow orchestration, multi-step task execution, stateful agents, retrieval-augmented generation, prompt engineering, structured outputs, human-in-the-loop review, and guardrail design. Experience with one or more AI/agent development frameworks or SDKs such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, OpenAI Assistants/Agents SDKs, GitHub Copilot SDK, Azure AI Foundry, or comparable technologies. Ability to develop or contribute to scripts, workflow components, prompt templates, structured schemas, evaluation harnesses, or lightweight applications using languages or tools such as Python, PowerShell, SQL, JSON/YAML, REST APIs, notebooks, or Git-based development workflows. Experience working with structured security data such as logs, alerts, detection outputs, case records, enrichment results, investigation notes, evidence artifacts, and historical analyst decisions to support AI-assisted analysis and backtesting. Familiarity with security operations tooling such as SIEM, EDR, SOAR, case management, threat intelligence platforms, enrichment APIs, data lakes, or internal security knowledge repositories. Understanding of AI workflow evaluation concepts, including ground-truth comparison, false positive/false negative review, confidence scoring, agreement rate, miss-rate analysis, prompt/version comparison, regression testing, and workflow reliability measurement. Strong analytical and problem-solving skills, with the ability to challenge AI-generated outputs, identify unsupported conclusions, validate findings against source evidence, and balance speed with investigative rigor. Strong written communication skills, including the ability to produce clear workflow documentation, technical notes, structured analysis, evaluation findings, governance documentation, and defensible summaries for operational and leadership audiences. Ability to collaborate with Incident Response leadership, analysts, domain SMEs, technology partners, and governance stakeholders to convert operational needs into practical, controlled, and measurable AI-enabled workflows.

Nice to Have Skills:

Professional security certification such as CISSP, GCIH, GCFA, GCFE, GCFR, or equivalent Relevant postsecondary

Pay: $90.00-$100.00 per hour

Work Location: Hybrid remote in Toronto, ON (Toronto District)

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Refine Your Search

python developer jobs remote jobs in toronto, on

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