Cloud Consultant Intern, AWS Professional Services
Amazon Web Services (AWS)
Job Overview
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Job Description
Cloud Consultant Intern, AWS Professional Services
Note: Amazon internships are full-time (40 hours/week) for 12 consecutive weeks, starting May/June 2026. Applicants should have at a minimum one quarter/semester remaining after their internship concludes. This internship role is required to be onsite 5 days a week in Toronto, ON, CA.
Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and GenAI? Are you passionate about educating, training, designing, and building cloud computing solutions to help customer solve their most challenging problems?
Amazon Web Services (AWS), a leader in Cloud Computing, is seeking interns to join our AWS Professional Services Internship program. This is a unique opportunity to play a key role in a fast-growing business and to deliver value to AWS customers of all sizes from startups to global brands. The skills and experiences you gain will be highly sought after throughout the industry and give you the opportunity for the career of a lifetime.
About AWS Professional Services
The AWS Professional Services organization is a global team of experts that helps AWS customers realize their desired business outcomes when using the AWS Cloud. We deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. In addition to working alongside our customers, we share our experience through technical artifacts and proof of concept demos.
Your Internship Experience
As a Professional Services intern, you will gain hands-on experience in cloud computing, develop business acumen, and learn about Amazon’s peculiar culture. You will work on projects, have the opportunity to obtain the AWS certifications, and attend professional development events. This internship could lead to a full time role in Toronto, ON, CA that has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.
Upon successful completion of the internship program, selected interns may receive a full-time offer to join the Professional Services and go into our Associate to Consultant (A2C) team. This team provides an onboarding program that accelerates career development program for recent graduates and early career professionals entering technical roles to advance their skills and help customers design and build flexible and resilient cloud-based solutions. While in this program, you will learn key technical and professional skills from top AWS subject matter experts that you can use in your career working with AWS’s customers.
Specialization Areas
- Application Developer: Specialists in designing applications that run natively in the cloud using programming languages such as Python, JavaScript, Typescript, etc. Experts in building programs for virtualized instances, containers, or serverless architecture, with full stack backend, frontend, and UX skillsets.
- Data & Analytics: Supports services leveraging data to produce business insights, including Machine Learning/Artificial Intelligence/Generative Artificial Intelligence (ML/AI/GenAI). Helps customers use and integrate Big Data services such as EMR (Hadoop), DynamoDB (NoSQL), MongoDB, Apache Cassandra, Amazon Q, and Bedrock.
About The Team & Culture
Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.
Basic Qualifications
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Currently enrolled in a Bachelor or greater degree program (e.g. Bachelor degree, Master degree) in a STEM related field such as Computer Science, Computer Engineering, Information Technology, or other related fields, with a conferral date between December 2026 and June 2027
- Experience with Java and Python
- Experience with one or more of the following programming languages/technologies: Typescript, React, Angular, Node.js, Ruby, GoLang, R, C, or C++
- Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows)
Preferred Qualifications
- Experience with software development life cycle (SDLC) and agile/iterative methodologies
- Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3
- Experience setting up a cloud environment with AWS
- Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible
Key skills/competency
- Cloud Computing
- Machine Learning
- Generative AI
- Python
- Java
- AWS Services
- Application Development
- Data Analytics
- Infrastructure as Code
- Consulting
How to Get Hired at Amazon Web Services (AWS)
- Research AWS Culture: Study Amazon Web Services' mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their peculiar culture and leadership principles.
- Tailor Your Resume: Customize your application to highlight relevant experience with Java, Python, cloud technologies, and software development methodologies as required for a Cloud Consultant Intern.
- Master Technical Skills: Deepen your foundational knowledge in computer science, networking, databases, and operating systems; practice applying these skills in cloud-related scenarios.
- Showcase Project Work: Prepare to discuss personal projects, academic achievements, or previous intern experiences demonstrating your capabilities in application development or data analytics.
- Prepare for Behavioral Interviews: Align your responses with Amazon's 16 Leadership Principles, emphasizing customer obsession, ownership, and a strong drive to learn and grow.
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