Data Center Technician jobs at Amazon in Canada

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
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.

• 2+ years implementing cloud architecture
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• 2+ years implementing Data platforms
• Hands on experience with building data or machine learning pipeline
• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

Utility Computing (UC)
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.Work/Life BalanceMentorship & 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.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
- Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
- Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.
- Perform lint and clock domain crossing quality checks on the design.
You will thrive in this role if you:
- Are familiar with scripting in Python
- Are proficient with assertions
- Have good debug skills to analyze RTL test failures
- Have a "Learn and Be Curious" mindsetAbout the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

- B.S. in Electrical Engineering or related technical field
- 5+ years in RTL design for SOC
- 5+ years of VLSI engineering
- 5+ years with code quality tools including: Spyglass, LINT, or CDC

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Experience with automation and scripting languages such as Python
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

Key job responsibilities
As a Sr. Applied Science Manager, you will:* Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.* Define and deliver the science and engineering roadmap for shopping session understanding, translating business goals into agentic strategies and driving integration of Session Agent capabilities into advertising applications.* Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.* Stay current on research advances, industry trends, and system architectures relevant to agentic AI and session understanding for SPB’s advertising business.

* M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in managing a team of both applied scientists and engineers as a tech lead or manager for at least 3 years* Experience in building large-scale machine learning and AI solutions at Internet scale for at least 3 years

* Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.* Experience developing and deploying Agentic AI or Generative AI (GenAI) solutions* The ability to communicate complex technical concepts and solutions to all levels of the organization* Experience in computational advertising

A day in the life
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred 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 AWSUtility Computing (UC)Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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

- 8+ years of relevant systems engineering, or systems administration experience using Operating Systems, networking, and storage systems
- 5+ years of Systems Engineering, DevOps, Site Reliability Engineering (SRE) or Enterprise Production experience in Windows / Linux or similar environments
- 3+ years' experience operating in a 24/7 production environment.
- 3+ years experience with a scripting language: Perl, Python, Ruby, PowerShell or similar languages

- Bachelor's Degree in Computer Information Systems, Computer Engineering or a related discipline
- 6+ years of networking experience
- 6+ years' experience with support procedures and methodologies for production computing environments.
- Development of systems automation in a scripting language: Perl, Python, Ruby, PowerShell or similar languages
- Experience with Agile engineering practices (Scrum, continuous delivery, etc)

You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.
You will be responsible for the following:
Influence AWS’ design and specification requirements to meet our business needs for AWS colocation products.
Investigate and document root-cause failure analysis associated with infrastructure and equipment failures.
Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes.
Travel to Data Center sites as required - International & Domestic (up to 50%)
Key job responsibilities*This position requires that the candidate selected obtain and maintain an active Reliability Status security clearance with the Government of Canada.*This position requires that the candidate selected obtain and maintain an active Reliability Status security clearance with the Government of Canada.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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

- 6+ years of data center design, construction, operations, or facility maintenance experience
- 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
- Bachelor's degree in Engineering or a related field
- Knowledge of critical data center mechanical and electrical equipment
- Experience in data center design, construction, operations, or facility maintenance
- Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities
- Experience researching new designs, technologies, and construction methods of data center equipment and facilities

- Professional Engineering or Architectural License
- Knowledge of building codes and regulations for your region
- Experience carrying design concepts through exploration, development, and into deployment or mass production
- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents

This position requires that the candidate selected obtain and maintain an active Reliability Status security clearance with the Government of Canada.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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

- 2+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience

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