דרושים Senior Software Dev Engineer Ring ב-אמזון ב-Canada, Ontario, Old Toronto

SDEs at Ring contribute to all the steps of the software development lifecycle. They gather, discuss and suggest requirements and features, they design and implement software, automate testing and operate the services their team owns.Key job responsibilities
Design, implement, and maintain mission-critical services powering Video Monitoring's event processing and agent investigation workflows with sub-two-second response timesCollaborate with Product Management, GTM stakeholders, and cross-functional teams to translate ambiguous customer requirements into concrete technical solutionsOwn long-term technical direction for VM platform evolution from human-centered monitoring to AI-agent based automated detection while maintaining human oversightIdentify and address systemic technical issues limiting scalability and time-to-market through GenAI adoption and evangelizationA day in the life

- 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

- 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

As a Senior Startup Investor Manager within AWS, you will work with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Experience supporting business initiatives that drive measurable outcomes
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree (MBA or technical)
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Strong analytical and technical assessment capabilities
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologies
- Experience in multiple technical domains (AI/ML, Security, Infrastructure)

Key job responsibilities
As an experienced technology professional, you will be expected to:2. Lead internal initiatives to deliver quantifiable impact
3. Develop strategic relationships with internal and external leaders
4. Design and implement complex, scalable, and secure AWS solutions tailored to customer needs
5. Enable and engage delivery partners in project delivery
6. Provide mentorship and coaching to develop others
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ year(s) of experience in IT security, compliance, or risk management
- 5+ years experience in technology automation, implementation, integration, and/or deployment

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g. EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g. Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g. Terraform, Python)
- Knowledge of security and compliance standards (e.g. HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Work experience in any of the following industries: financial services (banking, capital markets, payments, insurance, or other segments), automotive, telecommunications, healthcare, life sciences, energy, media & entertainment, or manufacturing.
- Hands-on technical expertise in building security capabilities in code, deploying infrastructure as code, and implementing enterprise security solutions (e.g. WAF, IPS, Anti-DDOS, SIEM)

You and your team will be responsible for all aspects of the customer experience - from the visual interface to the back-end services. You will be working with new technologies that improve usability and increase performance and scalability. You will help redefine normal for the business ecommerce market.You will help translate business requirements to technical deliverables and deliver operationally stable solutions that provide good customer experience. Candidates need to have strong ownership, passion to provide great customer experience and extreme focus on deliver results.
Key job responsibilities
As a Software Development Engineer, you will:- Design and code the right solutions starting with broadly defined problems.
- Build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
- Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Work in an agile environment to deliver high quality software.

- Bachelor's degree in computer science or equivalent
- Experience building complex software systems that have been successfully delivered to customers
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- Master's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Key job responsibilities
- Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent
- Experience writing software for DDR/HBM controllers and PHYs

Key job responsibilities
Our performance engineers collaborate across compiler, runtime, and framework teams to optimize machine learning workloads for our global customer base. Working at the intersection of machine learning, high-performance computing, and distributed systems, you'll bring a passion for performance analysis, distributed systems, and machine learning. In this role, you will:* Analyze and optimize system-level performance of machine learning models across the entire technology stack, from frameworks to runtime
* Conduct detailed performance analysis and profiling of ML workloads, identifying and resolving bottlenecks in large-scale ML systems
* Work directly with customers to enable and optimize their ML models on AWS accelerators, understanding their specific requirements and use cases
* Design and implement compiler optimizations, transforming manual performance improvements into automated compiler passes
* Collaborate across teams to develop innovative optimization techniques that enhance AWS Neuron SDK's performance capabilities
* Work in a startup-like development environment, where you’re always working on the most important stuff.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 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

- 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