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Amazon

Software Development Engineer II, Advertiser Growth Engine

Amazon is hiring a Software Development Engineer II, Advertiser Growth Engine in Toronto, Canada. It pays CAD 115k-CAD 192k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python and NLP.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Build distributed services and agentic platforms leveraging machine learning and NLP for advertising localization and automation.

PythonNLP
nlp
The Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon Advertising that make advertising across countries as easy as flipping on a switch. Our mission is to accelerate the path for millions of our Advertising clients in becoming global advertisers and brands.


We are currently recruiting Mid-Level Software Engineers who enjoy solving technical challenges at a global scale, simplifying and eliminating complexity as well as demonstrating a high sense of ownership and the ability to drive solutions from inception to delivery.


We have a strong culture of innovation, solving problems in creative ways and our track record of accomplishment’s speaks for itself. Over the past 2 years we have successfully:
- Built world-class text, video, and image localization services leveraging experienced human linguists and machine translation to produce high quality Advertising content.
- Leveraged ML and NLP to build a highly scalable service which intelligently routes translation content to human linguist by quality and SLA metrics.


Our current and future goals include:
- Integrate video, text, and image localization services into workflows to improve our customer's experience both on and off Ad Console.
- Build an agentic platform that powers all Ads agent to communicate with advertisers in 20+ languages.


You will be joining a high-performing team at the core of the Amazon Ad’s ecosystem. You will be responsible for the entire development lifecycle, from feature ideation to deployment to operational excellence. The individual in this role will have responsibility through the full product life cycle, from product strategy, prioritization and development to adoption and iteration. We will be counting on you to have strong technical skills - you should be able to design and build high-availability, low-latency distributed systems that will service millions of users. You will be expected to mentor junior engineers and foster a culture of innovation and high standards in the team.

Key job responsibilities
- Design and implement software solutions across the full development lifecycle, including requirements gathering, architecture, coding, testing, deployment, and operational support.
- Write high-quality, maintainable code and actively participate in code reviews, providing constructive feedback that raises the bar for the entire team.
- Identify root causes of operational issues and drive permanent fixes, continuously improving system reliability and performance.
- Collaborate with cross-functional partners — including product managers, stakeholders, and peer engineers — to understand customer needs and deliver the right solutions.
- Mentor and coach team members on software best practices, system design tradeoffs, and effective use of generative AI tools to improve productivity and code quality.

A day in the life
You start your morning reviewing deployment metrics and addressing any operational signals from overnight. By mid-morning, you are deep in a design discussion with teammates, weighing tradeoffs around scalability and maintainability for a new feature. After lunch, you spend time writing and reviewing code, pairing with a teammate who is ramping up on the codebase. You wrap up the afternoon by documenting your design decisions and preparing a brief update for your team's planning session.

About the team
Our team is focused on building reliable, scalable software that serves Amazon customers. We value collaboration, clear communication, and a commitment to getting things right. Engineers here have the opportunity to take on meaningful projects, influence technical direction, and grow their careers alongside talented peers. We are looking for people who bring fresh perspectives and want to be part of a team that is always looking for better ways to solve problems and deliver results for customers.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually

How we rate this

Software Development Engineer II, Advertiser Growth Engine at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPPython

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Walk me through how you've used Python in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: NLP and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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