Associate Professional Services Consultant Intern

Associate Professional Services Consultant Intern

The role starts in June 2026.

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 customers 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. 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. 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 AWS certifications, and attend professional development events. This internship can lead to a full-time role in Stockholm, 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 will receive a full-time offer to join the Professional Services and go into our AWS Technical training program. This program is an accelerated 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.

Amazon internships are full-time (40 hours/week) for 12 consecutive weeks, starting 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 Stockholm location.

Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience.

Specialization Areas

Application Developer

AppDev resources are specialists in designing applications that run natively in the cloud using programming languages such as Python, JavaScript, Typescript, etc. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture. They are full stack developers with backend, frontend, and UX skillsets.

Data & Analytics

Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence/Generative Artificial Intelligence (ML/AI/GenAI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MongoDB, Apache Cassandra, Amazon Q, and Bedrock.

Inclusive Team Culture

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. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Harmony

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 AND WE encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Basic Qualifications

• Enrolled in a Bachelor degree or greater degree program (e.g. Master degree) in a STEM related field such as Computer Science, Computer Engineering, Information Technology, or other related fields, with a conferral date in 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)
• Fluency in English and Swedish languages

Preferred Qualifications

• Experience with software development lifecycle (SDLC) and agile/iterative methodologies
• Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3
• Basic experience setting up 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
• Solution Design
• Technical Consulting
• Customer Engagement
• Application Development
• Data Analytics
• Programming (Java/Python)
• Problem Solving