JobgetherRemote · Canada
1h ago
AmazonPosted 1d ago
L2
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Sr. Software Dev Engineer, Ring Cloud Connectivity Org at Amazon scores 45 out of 100 on AI centrality, which makes it a Level 2 role on this board.
Remote (CA, ON, Toronto)seniorfull-timeCAD 151k-CAD 252k
AI in this role
Design and deliver high-throughput cloud connectivity platforms for Ring devices using AI-first development practices.
aws
computer-visiondistributed-systemsbackendcloud-connectivitysoftware-engineering
You'll own the end-to-end technical direction for complex systems that process high-throughput real-time data and integrate with a broad ecosystem of connected devices. You'll collaborate across Ring's cloud, firmware, science, and product organizations to solve hard problems in distributed systems, cross-platform application delivery, and real-time data processing at scale.
This role offers the opportunity to shape new product experiences from the ground up, working with a Toronto-based team that values technical ownership, iterative delivery, AI-first development practices, and engineering excellence.
Join us in building the next generation of smart home infrastructure that keeps families safe and connected.
Key job responsibilities
- Design and implement ultra-high-throughput backend services supporting millions of Ring devices and strict uptime requirements
- Build extensible services and data models that serve as the foundation for Ring's device connectivity and internal service ecosystem
- Drive technical excellence and establish engineering best practices
- Architect fault-tolerant distributed systems using AWS services, ensuring scalability from thousands to millions of concurrent device operations
- Partner with cross-functional teams to translate complex business requirements into robust technical solutions that enhance customer experience and security
- Lead operational excellence initiatives including monitoring, alerting, and automated testing to maintain our critical service dependencies
Contribute to technical decision-making that influences Ring's device platform architecture and future product capabilities
About the team
Ring Cloud Connectivity builds the foundational platforms and services that power how Ring devices connect, communicate, coordinate, and deliver experiences to customers. The team partners across Ring's cloud services, firmware, science, and product organizations to deliver customer experiences at scale. We are a Toronto-based team that values technical ownership, iterative delivery, and leveraging AI-first development to maximize engineering impact.
Basic qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design 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
- Experience with Generative AI-first development practices.
- 2+ years Experience with one or more relevant front-end frameworks such as React, React Native, or cross-platform UI toolkits.
Preferred qualifications
- 5+ 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
- Experience with real-time data processing, streaming architectures, or low-latency event-driven systems.
- Experience integrating ML or computer vision model outputs into production applications.
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
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
Computer VisionDistributed SystemsBackendCloud ConnectivitySoftware EngineeringAws
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where cloud connectivity was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer Vision, Distributed Systems, Backend, Cloud Connectivity, and Software Engineering. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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