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Genesys

Software Developer in Test, Intern (WEM)

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

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Original job description

Be the one building AI-powered experiences where they matter most

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Internship Details: This internship/co-op opportunity is based in Toronto, Ontario and follows a hybrid work model. Candidates should be able to work from our downtown Toronto office 1–2 days per week, depending on team and business needs.

We are considering students available for internship/co-op terms ranging from 8 to 16 months beginning in May/June 2027

Role Overview:
Help strengthen the quality and reliability of Genesys Cloud Workforce Engagement Management (WEM), contributing to software that supports billions of customer interactions globally. As a Software Developer Intern on the WEM Quality Assurance team, you will build AI-enhanced test automation for user interfaces and backend microservices while using GenAI throughout the software development lifecycle to improve engineering productivity and software quality. You will gain hands-on experience with Java, Python, Selenium, Playwright, REST APIs, AWS AI technologies, and production observability tools while learning how to evaluate AI-generated output critically and apply it responsibly. Working alongside senior engineers, you will contribute to quality engineering practices that identify defects earlier, improve test coverage, and increase confidence in software releases. At Genesys, you will have opportunities to expand your software engineering, automation, cloud, and GenAI skills while contributing to products that improve experiences for employees and customers.

Key Responsibilities:

Design and implement AI-enhanced automated tests for user interfaces and backend microservices that improve test coverage and release confidence
Develop and evolve automated testing pipelines that support reliable, scalable, and maintainable quality validation across Genesys Cloud WEM
Apply GenAI tools such as Kiro, Amazon Q Developer, Amazon Bedrock, and Claude to accelerate debugging, research, test development, and code refactoring
Evaluate AI-generated code and recommendations critically to ensure accuracy, maintainability, security, and meaningful test coverage
Build data-rich dashboards and defect analysis capabilities that surface quality trends and help teams improve product experiences
Investigate performance and software behaviour using testing, debugging, and observability tools to identify issues earlier in the development lifecycle
Drive quality throughout the software development lifecycle by creating tests that add meaningful value and validating assumptions through evidence
Collaborate with senior engineers and cross-functional partners to strengthen automation, engineering practices, and continuous improvement

Required Qualifications:

Currently enrolled in computer science, software engineering, computer engineering, or a related discipline
Strong programming fundamentals in Java, Python, or a comparable object-oriented programming language
Familiarity with REST APIs and version control systems such as Git
Understanding of software testing, debugging, automation, or quality engineering fundamentals
Interest or experience in GenAI, prompt engineering, AI-assisted software development, or related technologies
Strong analytical and problem-solving skills with an interest in investigating complex technical issues
Ability to collaborate effectively while taking ownership of the quality and maintainability of your work
Understanding that software quality is integrated throughout development rather than validated only at the end of the lifecycle

Preferred Qualifications:

Exposure to test automation technologies such as Selenium, Playwright, or TestNG
Familiarity with development and delivery tools such as Jenkins, Maven, Git, or Bitbucket
Exposure to GenAI technologies such as Kiro, Amazon Q Developer, Amazon Bedrock, or Claude
Familiarity with observability, analytics, or development tools such as Sumo Logic, JQL, New Relic, SSMS, or Confluence

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

$ -

Working at Genesys

AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

Our Talent Acquisition team reviews your application with the hiring team.

A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

Next, you'll meet the hiring manager and other members of the interview team.

We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

This is an active opening at Genesys. We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team, looking beyond keywords to focus on your experience and potential.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation - such as application follow-ups or resume submissions - may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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More about this job

Responsibilities

Design and implement AI-enhanced automated tests for user interfaces and backend microservices to improve test coverage. Collaborate with senior engineers to drive quality throughout the software development lifecycle using GenAI tools and observability platforms.

Requirements

Currently enrolled in a computer science, software engineering, or related degree program. Requires strong programming fundamentals in Java or Python and an understanding of software testing and version control systems.

Skills

Java
Python
Selenium
Playwright
REST APIs
Git
GenAI
Test automation
Software testing
Debugging
Quality engineering
Cloud computing
Prompt engineering
Observability tools
Data analysis

Benefits

Paid volunteer time
August Free Fridays
Well-being resources
Mentorship
Learning programs
Leadership development
Education support

Visa sponsorship

Not detected in the job text

Keywords

Software Developer in Test
Internship
Genesys Cloud
WEM
AI-powered
Test automation
Java
Python
Selenium
Playwright
REST APIs
AWS
GenAI
Kiro
Amazon Q Developer
Amazon Bedrock
Claude
Git
Jenkins
Maven
Bitbucket
Sumo Logic
New Relic
Quality Assurance
Microservices
Observability
Software Engineering
Computer Science
Data analysis
Prompt engineering

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