AmazonSoftware Development Engineer III, Scaling Efficiency, CloudTune
Amazon is hiring a Software Development Engineer III, Scaling Efficiency, CloudTune in Toronto, Canada. It pays CAD 151k-CAD 252k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- Tools and skills the posting cites include Distributed Systems, AWS and Workflow Orchestration.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Own the design and delivery of distributed systems and automation to scale infrastructure capacity decisions across Amazon's CloudTune organization.
As a Senior SDE, you will own the design and delivery of distributed systems that serve internal customers across science, capacity management, and engineering. You will tackle hard problems in areas like large-scale data processing, workflow orchestration, infrastructure automation, and platform reliability. The systems you build will directly impact how Amazon prepares for its highest-traffic moments and how it operates efficiently every day in between.
This is a role for a builder who wants to operate at the intersection of infrastructure and data, someone who can translate ambiguous business problems into well-architected technical solutions, ship them into production, and raise the engineering bar for the team along the way.
Key job responsibilities
- Own the end-to-end design, implementation, and operation of distributed systems that serve Amazon-scale workloads.
- Lead technical strategy and architecture for your area, making tradeoffs between speed of delivery and long-term platform health.
- Build services that are generic, composable, and designed for reuse, reducing duplication and accelerating the pace of delivery across the organization.
- Drive operational excellence across your systems, including monitoring, alarming, incident response, and on-call ownership.
- Partner with scientists, data engineers, and capacity managers to translate business requirements into scalable, maintainable technical solutions.
- Identify opportunities to reduce manual toil and close automation gaps through better tooling, self-service interfaces, and data-driven guardrails.
- Influence engineering culture through design reviews, code reviews, technical mentorship, and contributions to team-wide best practices.
About the team
Scaling Efficiency builds the automation and data infrastructure that powers CloudTune's capacity decisions across Amazon. Our teams work at the intersection of infrastructure and data science, building platform services that enable accurate forecasting, automated scaling, and efficient capacity management for thousands of EC2-based services. We partner closely with scientists, capacity managers, and service owners across Amazon. We value ownership, operational excellence, and building systems that compound in value over time, so Amazon's engineers can focus on their customers instead of their infrastructure.
Basic qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building complex software systems that have been successfully delivered to customers
- 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 - 150,700.00 - 251,700.00 CAD annually
How we rate this
Software Development Engineer III, Scaling Efficiency, CloudTune at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
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
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where infrastructure automation was part of your work. What did you do?
- Tell me about a project where data processing was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Development, Distributed Systems, Infrastructure Automation, Data Processing, and AWS. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineer jobs by email
One email a week with the new software engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step