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Amazon Internship Software Engineer Jobs in Calgary, AB

... internship, personal, or open-source projects. Experience in tech industry, oil and gas/energy ... Software Engineering Foundations : Understanding of core software engineering concepts including ...

New

Amazon AWS and Microsoft Azure * Microsoft Fabric an asset * Software development * C# and Python ... Transform our engineering practices (SDLC & DevOps): * * Design and implement proper release ...

Amazon Web Services (AWS) is growing rapidly, and we are looking for a Data Center Engineering ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Senior Java Developer

Calgary, AB · On-site +1

$91K - $120K/yr

Previous experience with message brokers (RabbiMQ, Amazon SQS). * Use AWS (EC2, ECS, S3, Lambda ... Apply software engineering fundamentals such as data structures, testing and debugging to ensure ...

Senior Java Developer

Calgary, AB · On-site +1

$91K - $120K/yr

Previous experience with message brokers (RabbiMQ, Amazon SQS). * Use AWS (EC2, ECS, S3, Lambda ... Apply software engineering fundamentals such as data structures, testing and debugging to ensure ...

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Amazon Internship Software Engineer information

What types of projects do software engineer interns typically work on during their Amazon internship?

As a Software Engineer Intern at Amazon, you’ll often be assigned to real-world projects that align with your team's current priorities, such as developing new features, optimizing existing systems, or contributing to large-scale services. Interns are given ownership of their project, encouraged to collaborate with experienced engineers, and participate in code reviews. Expect a fast-paced, supportive environment where mentorship and learning are prioritized, and where your contributions can have a meaningful impact on Amazon’s products and services.

What is an Amazon internship software engineer?

An Amazon Internship Software Engineer is a student or recent graduate who works temporarily at Amazon to gain practical experience in software development. These interns collaborate with experienced engineers on real-world projects, learning to design, code, and test software systems. The internship provides exposure to Amazon's technologies, culture, and workflows, often serving as a pathway to full-time opportunities. Interns receive mentorship, participate in team meetings, and contribute to codebases that impact millions of customers. This experience helps develop technical, problem-solving, and communication skills essential for a career in software engineering.

What are the key skills and qualifications needed to thrive as an Amazon internship software engineer, and why are they important?

To thrive as an Amazon Internship Software Engineer, a solid understanding of computer science fundamentals, programming proficiency (often in Java, C++, or Python), and progress toward a relevant degree such as Computer Science or related field are essential. Familiarity with version control systems like Git, cloud technologies such as AWS, and agile development tools is typically expected. Strong problem-solving skills, effective teamwork, and adaptability set candidates apart in this collaborative, fast-paced environment. These skills and qualities are crucial for contributing to complex projects, learning quickly, and delivering impactful solutions during the internship.
What cities near Calgary, AB are hiring for Amazon Internship Software Engineer jobs? Cities near Calgary, AB with the most Amazon Internship Software Engineer job openings:
Infographic showing various Amazon Internship Software Engineer job openings in Calgary, AB as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff Software Engineer

Royal Bank of Canada

Calgary, AB • On-site

Full-time

Re-posted 15 days ago


Job description

Job Description

What's the opportunity?

We're looking for an experienced Staff Software Engineer who will bring focus and subject-matter expertise around designing and implementing robust, scalable AI services. This is a unique opportunity to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise grade software solutions for our production AI services.

Your responsibilities include:

  • Designing, building, and optimizing AI services that power the business' AI and ML applications

  • Architecting and implementing software best practices and standards for code quality, performance, and scalability across AI applications

  • Collaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of AI applications at scale

  • Leading technical design decisions and system architecture for AI applications and projects, including API design, data models, and integration patterns

  • Building highly scalable, resilient cloud and on-premises software systems for hosting AI services using state-of-the-art technologies

You are an ideal candidate if you have:

  • Strong and relevant experience designing and implementing distributed systems and software architectures for AI services

  • Proven expertise in software engineering practices, including code review, testing, design patterns, and software architecture

  • Hands-on experience building and deploying scalable applications and services using modern frameworks and technologies

  • In-depth knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)

  • Experience designing and implementing APIs, event-driven, microservices, and service-oriented architectures

  • Strong proficiency in Python and Golang

  • Experience optimizing application performance, implementing caching strategies, and tuning distributed systems

  • Hands-on experience building and deploying applications across hybrid environments on-prem and major cloud environments, such as AWS and Azure

  • Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in production environments

  • Understanding of machine learning model serving, inference optimization, and ML system design patterns

  • Experience designing and building infrastructure for deploying and managing agentic workflow systems and self-hosted ML models

  • Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact from a local-to-global scale

About the AI Group:

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#LI-POST

#TECHPJ

Job Skills

AI Ops, Amazon SageMaker, Apache Kafka, Autoscaling, Big Data Management, CI/CD, Datadog, Data Mining, Data Science, Deep Learning, Dynatrace APM, Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift

Additional Job Details

Address:

407 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-24

Application Deadline:

2026-09-25

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME