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Amazon Software Engineer Remote Jobs in Toronto, ON

CaptivateIQ

Staff Software Engineer - AI Platform

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal ... Job Location Remote - US Responsibilities * Set the multi-year technical strategy for AI platform ...

Canals

Senior Software Engineer - Canada

Toronto, ON · Remote

About Canals Canals builds software for wholesale distributors, helping them operate more ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Rakuten Kobo

Software Engineer II

Toronto, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Rakuten Kobo Toronto is looking for a Software Engineer II to join our amazing Web team! You will ... Flexible hours and hybrid remote working environment * Subsidized in-office lunches * Four extended ...

Posted today

Mercor

Software Engineering Expert - AI/ML

Toronto, ON · Remote

CA$60 - CA$75/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical documentation. * Evaluate AI ability to follow precise instructions and produce accurate ...

PointClickCare

Software Engineering Manager

Mississauga, ON · Remote

CA$156K - CA$174K/yr

  • Retirement

  • PTO

For Remote Roles : If this role is remote, there will be in-office events that will require travel ... Demonstrated technical expertise equivalent to a Senior Software Engineer , with handson experience ...

Pigment

Senior Backend Software Engineer

Toronto, ON · On-site +1

CA$100K - CA$180K/yr

Join our Blocks team as a Software Engineer and play a critical role in shaping the core ... While most team members are based in Paris or remote, you will work alongside one Toronto-based ...

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Amazon Software Engineer Remote information

What are the key skills and qualifications needed to thrive as an Amazon software engineer remote?

To thrive as an Amazon Software Engineer (Remote), you need strong programming skills (often in Java, C++, or Python), a solid understanding of computer science fundamentals, and typically a bachelor's degree in computer science or related field. Familiarity with AWS services, version control systems like Git, and CI/CD tools such as Jenkins is commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work environments. These skills ensure you can deliver high-quality software solutions, collaborate effectively across distributed teams, and adapt to Amazon's fast-paced, innovative culture.

What is the difference between Amazon Software Engineer Remote vs Amazon Software Developer Remote?

AspectAmazon Software Engineer RemoteAmazon Software Developer Remote
Required CredentialsBachelor's in CS or related field, coding skills, Amazon interview processBachelor's in CS or related field, coding skills, Amazon interview process
Work EnvironmentRemote, collaborative teams, Agile methodologyRemote, collaborative teams, Agile methodology
Employer & Industry UsageAmazon, tech/software industryAmazon, tech/software industry
Search & Comparison IntentHigh overlap in job duties and requirementsHigh overlap in job duties and requirements

Amazon Software Engineer Remote and Amazon Software Developer Remote roles share similar qualifications, work environments, and industry usage. The main difference lies in job titles used internally and externally, but both involve software development tasks within Amazon's remote teams.

What does an Amazon software engineer do when working remotely?

An Amazon Software Engineer working remotely designs, develops, tests, and maintains software solutions that power Amazon’s products and services. They collaborate with team members using online tools, participate in virtual meetings, and follow Agile development practices. The role involves solving complex technical problems, writing high-quality code, and ensuring scalability and reliability of software systems—all from a remote location. Communication and self-motivation are key to succeeding in this remote position.

What are some common challenges faced by remote Amazon software engineers, and how can they be addressed?

Remote Amazon Software Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with globally distributed teams, and ensuring effective collaboration on large-scale projects. To address these challenges, Amazon fosters a culture of documentation, regular virtual meetings, and utilizes tools like Amazon Chime and internal wikis to keep everyone connected. Proactively reaching out to teammates, setting clear expectations, and participating in virtual team-building activities can also help remote engineers stay engaged and aligned with their teams.

What are the most commonly searched types of Amazon Software Engineer jobs in Toronto, ON?

The most popular types of Amazon Software Engineer jobs in Toronto, ON are:

What are popular job titles related to Amazon Software Engineer Remote jobs in Toronto, ON?

For Amazon Software Engineer Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Amazon Software Engineer Remote jobs in Toronto, ON look for?

The top searched job categories for Amazon Software Engineer Remote jobs in Toronto, ON are:

Amazon Software Engineer Remote jobs near you
Infographic showing various Amazon Software Engineer Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Staff Software Engineer - AI Platform

CaptivateIQ

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.
 
About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.

As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.

This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

 
Job Location
Remote - US
 
Responsibilities
  • Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
  • Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
  • Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
  • Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
  • Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
  • Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
  • Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
Requirements
  • 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
  • Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
  • Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
  • Track record of setting technical strategy that spans multiple teams and multi-year time horizons
  • Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
  • Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
  • Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
  • Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus
  • Strong proficiency in Python and experience with Django or similar backend frameworks
  • Full-stack capabilities with React and TypeScript
  • Experience building and scaling internal AI/ML platforms or developer experience infrastructure
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool    ecosystems
  • Experience with AI evaluation, observability, and production monitoring at enterprise scale
  • Published technical writing, conference talks, or significant open-source contributions in AI/ML
  • Background building AI-powered products that shipped to enterprise customers with measurable business impact
  • Experience at a B2B SaaS company during periods of significant growth or platform expansion
  • Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains
Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates
  • Only emails from @captivateiq.com should be trusted.
  • We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
$181,289 - $285,272 a year
The base range represents the minimum and maximum for this position across North America. For candidates in Toronto, Canada the range is $181,289-$242,106. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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