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Testing Amazon Jobs in Ontario (NOW HIRING)

Experience integrating Amazon Bedrock services with Amazon Connect solutions. * Experience ... Participates in testing, troubleshooting, deployment and ongoing optimization of AI-powered contact ...

Data Engineer

Vaughan, ON

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Role The Data Engineer will be responsible for developing, maintaining, testing, and optimizing ... Design and implement data storage solutions using AWS data services such as Amazon RDS, Amazon ...

Senior Analyst, Strategy & Activation

Toronto, ON · Hybrid

CA$63K - CA$78K/yr

  • Medical

  • Dental

  • Vision

  • PTO

THE ROLE As a Senior Analyst, Strategy & Activation (Amazon media), you will be a key driver in ... Develop and execute robust A/B testing frameworks (creative, audience, and bidding) to constantly ...

Amazon Ads Business Ownership * Own the Amazon Ads business end-to-end, including Sponsored ... Direct A/B testing of media messaging and creative to improve conversion and media efficiency.

Coached and mentored developers on coding, performance and testing best practices \n * Experience ... Experience with Docker, Amazon Web Services and Git \n * Experience of Agile Software Development ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ... Key Responsibilities 1. Own end-to-end testing of web applications and APIs, including functional ...

Troubleshoot complex technical challenges across systems (e.g., Shopify, Amazon, TikTok Shop ... Hands-on experience building, testing, and troubleshooting solutions in complex, cross-system ...

Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement #LI-ASPOST Job Skills Agile Projects, Amazon S3, Apache JMeter, Atlassian JIRA, Automated Testing ...

Sound knowledge of Static Application Security Testing (SAST), Dynamic Application Security Testing ... You have hands-on experience with public cloud services like Amazon Web Services (AWS), Azure etc.

Showing results 21-40

Testing Amazon information

What are common challenges faced by professionals working in Amazon's software testing roles, and how can they be addressed?

Professionals in Amazon's software testing roles often encounter challenges such as keeping up with fast-paced development cycles, coordinating with distributed teams, and adapting to evolving testing tools and methodologies. To address these challenges, testers should focus on strong communication skills, proactive collaboration with developers and product managers, and continuous learning through internal training resources. Leveraging automation frameworks and participating in regular team syncs also helps ensure effective testing coverage and timely releases.

What is the difference between Testing Amazon vs Testing Google?

AspectTesting AmazonTesting Google
Required CertificationsTypically QA certifications, testing tools knowledgeSimilar QA certifications, testing tools familiarity
Work EnvironmentAmazon warehouses, fulfillment centers, or software testing teamsGoogle offices, data centers, or software development teams
Industry UsageRetail, logistics, e-commerceTechnology, advertising, cloud services
Common Search IntentTesting Amazon products or servicesTesting Google products or services

Testing Amazon and Testing Google share similarities in required certifications and testing environments, but differ in industry focus and work settings. Testing Amazon often involves retail and logistics testing, while Testing Google centers on technology and software testing. Both roles require strong QA skills and certifications, but their daily tasks and industry contexts vary significantly.

What is a testing Amazon job?

Testing Amazon jobs typically refer to positions involved in evaluating and ensuring the quality of Amazon’s products, services, or software. These roles may include software testers, quality assurance engineers, or usability testers who work to identify bugs, verify features, and ensure that Amazon’s offerings function as intended. Testers may use a variety of manual and automated testing methods to validate functionality, performance, and user experience. These jobs are crucial for maintaining Amazon’s high standards and delivering reliable products to customers.

What are popular job titles related to Testing Amazon jobs in Ontario?

For Testing Amazon jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Testing Amazon jobs in Ontario look for?

The top searched job categories for Testing Amazon jobs in Ontario are:

Infographic showing various Testing Amazon job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

RQ11252 - Sr. AI Engineer

Source Code

Toronto, ON

CA$90.18 - CA$108.22/hr

Contractor

Re-posted 9 days ago


Job description

RQ11252 - Sr. AI Engineer

11-month contract (226 business days) - possible extension

ONSITE 5 days - 222 Jarvis St

Must Have:

  • 5+ years of experience developing Artificial Intelligence and Machine Learning solutions.
  • Hands-on experience implementing Generative AI and Large Language Model (LLM) solutions in enterprise environments.
  • 5+ years of experience implementing contact centre solutions utilizing Amazon Connect.
  • Experience configuring and developing Amazon Connect Customer AI Agents.
  • Extensive experience designing, developing and implementing Amazon Connect cloud-based contact centre solutions.
  • Experience integrating Amazon Bedrock services with Amazon Connect solutions.
  • Experience designing, developing and optimizing prompts for conversational AI, virtual assistants and AI agents.
  • Experience with AWS services including Amazon Connect, Amazon Bedrock, Amazon Lex, AWS Lambda, API Gateway, Amazon DynamoDB, Amazon S3, CloudWatch, EventBridge and IAM.
  • Knowledge of Azure OpenAI, Azure AI Services, Azure AI Foundry, Google Vertex AI, Gemini and equivalent AI platforms.
  • Strong experience with Python development.
  • Experience with JavaScript, Node.js and related technologies.
  • 5+ years of experience implementing conversational AI, IVR or contact centre solutions.

Nice to have:

  • Prior OPS or Public sector exp.


Responsibilities:

  • Undertakes the development, configuration, implementation and support of Artificial Intelligence (AI), Generative AI and Conversational AI solutions based on business requirements, architecture standards, security policies, best practices and project deliverables.
  • Designs, develops and supports AI-powered conversational IVR solutions, virtual assistants, voicebots, AI agents and self-service capabilities utilizing Amazon Connect Customer AI Agents, Amazon Bedrock, Amazon Lex and related technologies.
  • Develops and maintains integrations between AI solutions, contact centre platforms, enterprise applications, knowledge repositories, APIs, workflow systems and cloud services.
  • Designs, develops and optimizes prompts, prompt templates, orchestration logic, retrieval mechanisms and AI guardrails to ensure secure, accurate and effective AI interactions.
  • Develops and supports AI Agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Model Context Protocol (MCP) servers, tool-calling frameworks and enterprise knowledge repositories.
  • Configures and develops Amazon Lex bots including intents, slots, utterances, fulfillment logic, conversational flows and escalation mechanisms.
  • Works closely with architects, business analysts, contact centre teams and stakeholders to implement scalable, secure and reliable AI solutions.
  • Develops technical specifications, implementation documentation, deployment procedures and operational support materials.
  • Participates in testing, troubleshooting, deployment and ongoing optimization of AI-powered contact centre solutions.
  • Ensures solutions comply with organizational standards for security, privacy, accessibility and Responsible AI.

General Skills:

  • Knowledge of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), Large Language Models (LLMs), Agentic AI and Conversational AI technologies.
  • Knowledge of Retrieval Augmented Generation (RAG), prompt engineering, vector databases and semantic search technologies.
  • Knowledge of Amazon Connect, Amazon Bedrock, Amazon Lex and AWS cloud services.
  • Knowledge of MCP (Model Context Protocol) concepts, tool integration patterns and AI agent orchestration.
  • Knowledge of cloud computing technologies, APIs, microservices and event-driven architectures.
  • Ability to gather technical requirements and translate them into scalable AI solutions.
  • Ability to develop technical designs, implementation specifications and support documentation.
  • Knowledge of technology trends, emerging AI capabilities and industry best practices.
  • Excellent analytical, problem-solving and troubleshooting skills.
  • Excellent verbal and written communication skills, interpersonal skills and teamwork skills.
  • A team player with a track record for meeting deadlines.

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $90.18/hr - $108.22/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $72.14/hr - $86.58/hr T4