AmazonSoftware Development Engineer II, Scaling Planner, CloudTune
AI in this role
Design and operate automated cloud capacity scaling systems and forecasting pipelines for AWS infrastructure.
Proactive Scaling is the forward-looking engine at the core of Scaling Planner - it ingests business forecasts, applies scaling formulas via the Capacity Calculator, and generates capacity recommendations before demand arrives. This is how Amazon prepares for its highest-stakes moments, including Prime Day, Black Friday, and other High Volume Events. Reactive Scaling is the backstop to unplanned changes in demand - when systems come under stress that scaling can help smooth, we step in and provide automated emergency relief by pulling from a centrally managed capacity pool when real-time metric thresholds are breached.
As an Software Development Engineer II, you will own the design, delivery, and operation of systems across this portfolio with a primary focus on Proactive Scaling. You will partner with scientists, capacity managers, and service owners to ensure Amazon's infrastructure is always right-sized at the right time - powering services behind Amazon.com, Alexa, Prime Video, and digital devices.
Key job responsibilities
- Own the design, implementation, and operation of Proactive Scaling services that generate capacity recommendations using business forecasts, scaling formulas, and the Capacity Calculator.
- Build and improve the automated pipeline that calculates, schedules, and applies capacity overrides for peak events and daily scaling across supported regions (IAD, PDX, DUB, FRA, ZAZ).
- Contribute to Reactive Scaling systems that monitor real-time metrics (CPU, throughput via CloudWatch and PMET) and automatically adjust capacity when thresholds are breached.
- Drive integration between Scaling Planner, the Capacity Calculator (formerly CloudSpin), Fleet Management Console, and CloudTune Capacity Service to deliver seamless, end-to-end capacity automation.
- Define and monitor risk factors, efficiency metrics, and guardrails that trigger iterative improvements with customers to close automation gaps.
- Lead technical design reviews, author design documents, and influence the architectural direction of Scaling Planner.
- Mentor junior engineers through code reviews, design guidance, and operational best practices.
- Maintain high operational standards, including on-call responsibilities, monitoring, alarming, and incident response for services you own.
About the team
Scaling Planner is CloudTune's capacity automation engine for Amazon's SDO organization. We ensure that thousands of EC2-based services have the right capacity at the right time - whether that means proactively scaling up for Prime Day or reactively absorbing an unexpected traffic surge. Our Proactive Scaling capability is what sets us apart: instead of reacting to traffic spikes, we predict them using advanced forecasting and automatically prepare infrastructure weeks in advance. Reactive Scaling complements this by providing an automated safety net when real-world conditions deviate from forecasts. We work closely with CloudTune Science, capacity management, and service owners across Amazon. We value ownership, operational excellence, and building systems that remove manual toil so Amazon's engineers can focus on their customers.
Basic qualifications
- 3+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience building complex software systems that have been successfully delivered to customers
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- 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, Scaling Planner, CloudTune at Amazon rates 0 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Walk me through how you've used Cloudwatch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Cloud Computing, Capacity Planning, Automation, and Cloudwatch. 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.
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