Software Development Engineer, Ring Cloud Computer Vision
Listed on 2026-05-23
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Software Development
Cloud Engineer - Software, Software Engineer, Full Stack Developer
Software Development Engineer, Ring Cloud Computer Vision
Job | Evi Technologies Limited
You will join a fast‑paced team within Amazon that builds always‑on AI‑powered Ring Cloud CV services serving tens of millions of users globally. As a Software Development Engineer you’ll collaborate with cross‑disciplinary teams to build cloud software for Ring’s innovative consumer electronics products. From enhancing existing features to designing new systems from scratch, you’ll have the opportunity to analyze customer experiences, work on proof‑of‑concepts, develop high‑performance production‑ready cloud services, and launch them at a truly global scale.
Your expertise will also be instrumental in ensuring flawless operations of Ring core services and delivering exceptional user experience. While working at the forefront of AI and cloud technologies you can make tangible impact on people’s lives.
In this pivotal role you’ll drive key aspects of product definition, design, development, deployment, scaling, and global‑scale operations. Your contributions will have direct impact on millions of customers worldwide, as you create highly available, resilient, and scalable cloud services that redefine the smart home experience.
Ideal Candidate- Embrace challenges and find joy in solving complex technological puzzles
- Are passionate about designing and building secure, high‑performance, and scalable cloud services
- Possess a steady commitment, taking ownership and driving projects to successful completion
- Thrive on creating impactful solutions that make a difference in people’s lives
Then this role is tailored for you.
Day in the LifeEvery day brings new challenges and opportunities for innovation. You’ll design state‑of‑the‑art features from scratch, leveraging latest technologies to redefine the smart home security experience. Dive deep into production metrics and customer insights, analyze data to drive continuous improvements of our cloud services. Explore new solutions by working on technical proof‑of‑concepts, pushing boundaries of what’s possible in cloud computing and computer vision.
Collaborate closely with cross‑functional teams, consult solution proposals, share expertise and drive innovation.
At Amazon, variety, challenge, creativity, and making global impact are the norms, fostering an environment of continuous growth and discovery.
About the TeamWe are a team of passionate professionals who thrive on collaboration and innovation and never stop improving distributed cloud systems, challenging the status quo, and leveraging state‑of‑the‑art technologies.
Our team is at the forefront of delivering always‑on AI‑powered distributed systems that serve tens of millions of Ring customers worldwide. Dealing with hundreds of thousands of events per second and billions of video streams processed daily, you’ll be part of an elite group working on truly global‑scale cloud systems that few companies can match. We collaborate with experts from diverse backgrounds, share knowledge, and drive innovation that redefines the global smart home security landscape.
You will find us in a supportive and inclusive environment that fosters continuous growth, knowledge‑sharing, and a deep sense of camaraderie. Together, we push boundaries, explore new frontiers, and deliver solutions that make lasting impact.
Basic Qualifications- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non‑internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object‑oriented design
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference life cycles, and optimization of model execution
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