Cloud Support Eng Japanese Language Proficiency jobs at Amazon in Canada, Old Toronto

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)

Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights

• Bachelor’s degree required with a scientific or engineering focus
• 4+ years of working experience in quality management, manufacturing, or related fields in consumer products or fashion industry
• Knowledge of quality management systems and standards (e.g. ISO 9001), with demonstrated understanding of manufacturing operations across diverse industries
• Fluent in Chinese and English; excellent written and verbal communication skills
• Think creatively and possess strong analytical and problem-solving skills
• Able to travel (national and international) often

• Experience with process improvement methodologies (e.g., Lean Six Sigma) and data-driven problem solving
• Basic proficiency or strong interest in analytical tools (SQL, Python, or AI tools) to drive business insights and operational efficiency
• Experience in communicating data-driven insights with cross-functional teams and leadership

Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Solve technical problems independently
2. Collaborating with others to define and implement solutions
3. Escalate risks with options, impact, and recommended solutions.
4. Is an established expert in at least 1 technology domain
5. Implement, automate, and manage scalable and secure AWS solutions tailored to customer needs
6. Provide technical guidance and troubleshooting support throughout project deliveryDiverse 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.

- 3+ 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
- 3+ 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)

- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language

- 3+ 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

Software Development EngineerKey job responsibilities
As an SDE on the SAS team, you will:Functionally decompose complex problems into simple, straight-forward solutions while understanding system interdependencies and limitations.Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor's degree or equivalent
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Full stack software development experience with React, Python, Object Oriented Programming (Java/C++/C#), Javascript, Node.Js
- Working knowledge of SQL.
- Working knowledge of AWS services (e.g., EC2, S3, Lambda, RDS, Kinesis).

- Master's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Full stack software development experience with React, Python, Object Oriented Programming (Java/C/C++/C#), Javascript, Node.Js.
- Proficiency in SQL, Data Manipulation, Data Retrieval, Database Design and Query Optimization.
- Strong knowledge of AWS services (e.g., EC2, S3, Lambda, RDS, Kinesis).

Our services ingest billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success. We work in some of the most exciting computer science domains (massive scale streaming systems, machine learning, data science, cloud native development). We build front-ends in ReactJS and back-ends with Kotlin and native AWS. We are *not* looking for an expert in any one of these particular domains (although, it wouldn't hurt). We are looking for a motivated software engineer with a proven track record of solid computer science fundamentals and building production quality software systems.If you are excited about working with the latest technologies to massively scale a new product this is the right place for you. The ideal candidate will be innovative, have great problem solving, analytical and technical skills. You demonstrate exceptional customer relationships skills and love to discover the true requirements underlying feature requests. You enjoy simplifying complex problems and tackling challenges.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

- 5+ years of professional software development experience
- Proficiency in Python, Java, C++, or related language

- Bachelor's degree in Computer Science or related field
- Applied knowledge of machine learning theory and practice
- Experience with GPU training infrastructure and optimization
- Experience as a tech lead or engineering mentor
- Expertise across the software development life cycle, including code reviews, build processes, testing, and operations
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.